International US Foreign Currency Exchange Rates Predictor

Author: Andrew Tran

Blog Post Inspiration and Objectives

In this blog post, I was hoping to investigate using Machine Learning to make a financial prediction system. Initially, I was hoping to imitate the ones used for stock prediction. However, since there were too many tutorials on this topic, I decided to investigate another global, financial factor that governs trade internationally: international currency rates. In the news recently, I have heard rumors of how the international standard of utilizing the US dollar could be compromised with other global powers such as China and India rise in global dominance. Thus, I focused my efforts on analyzing the US currency conversion rates to other countries. With that said, let’s try to analyze this topic with some Machine Learning:

Data Preprocessing - Cleaning and Analytics

```{python}
# Import needed libraries
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from tensorflow.keras.models import Sequential
from tensorflow.keras.optimizers import Adam
from tensorflow.keras import layers
from copy import deepcopy
import datetime as dt
plt.style.use("fivethirtyeight")
```

First, we will read and display the initial dataset in our file system for this blog post, downloaded from Kaggle. This dataset contains loads of valuable information such as almost every major world power’s international US currency conversion rate.

```{python}
# Reading and displaying the initial dataset
df = pd.read_csv("datasets/foreign_exchange_rates.csv")
df
```

	Unnamed: 0	Time Serie	AUSTRALIA - AUSTRALIAN DOLLAR/US$	EURO AREA - EURO/US$	NEW ZEALAND - NEW ZELAND DOLLAR/US$	UNITED KINGDOM - UNITED KINGDOM POUND/US$	BRAZIL - REAL/US$	CANADA - CANADIAN DOLLAR/US$	CHINA - YUAN/US$	HONG KONG - HONG KONG DOLLAR/US$	...	SINGAPORE - SINGAPORE DOLLAR/US$	DENMARK - DANISH KRONE/US$	JAPAN - YEN/US$	MALAYSIA - RINGGIT/US$	NORWAY - NORWEGIAN KRONE/US$	SWEDEN - KRONA/US$	SRI LANKA - SRI LANKAN RUPEE/US$	SWITZERLAND - FRANC/US$	TAIWAN - NEW TAIWAN DOLLAR/US$	THAILAND - BAHT/US$
0	0	2000-01-03	1.5172	0.9847	1.9033	0.6146	1.805	1.4465	8.2798	7.7765	...	1.6563	7.329	101.7	3.8	7.964	8.443	72.3	1.5808	31.38	36.97
1	1	2000-01-04	1.5239	0.97	1.9238	0.6109	1.8405	1.4518	8.2799	7.7775	...	1.6535	7.218	103.09	3.8	7.934	8.36	72.65	1.5565	30.6	37.13
2	2	2000-01-05	1.5267	0.9676	1.9339	0.6092	1.856	1.4518	8.2798	7.778	...	1.656	7.208	103.77	3.8	7.935	8.353	72.95	1.5526	30.8	37.1
3	3	2000-01-06	1.5291	0.9686	1.9436	0.607	1.84	1.4571	8.2797	7.7785	...	1.6655	7.2125	105.19	3.8	7.94	8.3675	72.95	1.554	31.75	37.62
4	4	2000-01-07	1.5272	0.9714	1.938	0.6104	1.831	1.4505	8.2794	7.7783	...	1.6625	7.2285	105.17	3.8	7.966	8.415	73.15	1.5623	30.85	37.3
...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...
5212	5212	2019-12-25	ND	ND	ND	ND	ND	ND	ND	ND	...	ND	ND	ND	ND	ND	ND	ND	ND	ND	ND
5213	5213	2019-12-26	1.4411	0.9007	1.5002	0.7688	4.0602	1.3124	6.9949	7.788	...	1.354	6.7295	109.67	4.1337	8.8799	9.4108	181.3	0.9808	30.11	30.15
5214	5214	2019-12-27	1.4331	0.8949	1.4919	0.7639	4.0507	1.3073	6.9954	7.7874	...	1.352	6.6829	109.47	4.126	8.8291	9.3405	181.35	0.9741	30.09	30.14
5215	5215	2019-12-30	1.4278	0.8915	1.4846	0.761	4.0152	1.3058	6.9864	7.7857	...	1.3483	6.6589	108.85	4.1053	8.7839	9.3145	181.6	0.9677	30.04	29.94
5216	5216	2019-12-31	1.4225	0.8907	1.4826	0.7536	4.019	1.2962	6.9618	7.7894	...	1.3446	6.6554	108.67	4.0918	8.7823	9.3425	181.3	0.9677	29.91	29.75

5217 rows × 24 columns

For clarity on the constraints and parameters of the working datasets, I went to find high-level exploratory statistics on all of the datasets: shape, information about all of the entries, etc.

```{python}
# Determining the shape of the initial dataset
df.shape
```

(5217, 24)

```{python}
# Getting a sample of the initial dataset through the seeing the first 10 entries
# completely in the dataset
df.head()
```

	Unnamed: 0	Time Serie	AUSTRALIA - AUSTRALIAN DOLLAR/US$	EURO AREA - EURO/US$	NEW ZEALAND - NEW ZELAND DOLLAR/US$	UNITED KINGDOM - UNITED KINGDOM POUND/US$	BRAZIL - REAL/US$	CANADA - CANADIAN DOLLAR/US$	CHINA - YUAN/US$	HONG KONG - HONG KONG DOLLAR/US$	...	SINGAPORE - SINGAPORE DOLLAR/US$	DENMARK - DANISH KRONE/US$	JAPAN - YEN/US$	MALAYSIA - RINGGIT/US$	NORWAY - NORWEGIAN KRONE/US$	SWEDEN - KRONA/US$	SRI LANKA - SRI LANKAN RUPEE/US$	SWITZERLAND - FRANC/US$	TAIWAN - NEW TAIWAN DOLLAR/US$	THAILAND - BAHT/US$
0	0	2000-01-03	1.5172	0.9847	1.9033	0.6146	1.805	1.4465	8.2798	7.7765	...	1.6563	7.329	101.7	3.8	7.964	8.443	72.3	1.5808	31.38	36.97
1	1	2000-01-04	1.5239	0.97	1.9238	0.6109	1.8405	1.4518	8.2799	7.7775	...	1.6535	7.218	103.09	3.8	7.934	8.36	72.65	1.5565	30.6	37.13
2	2	2000-01-05	1.5267	0.9676	1.9339	0.6092	1.856	1.4518	8.2798	7.778	...	1.656	7.208	103.77	3.8	7.935	8.353	72.95	1.5526	30.8	37.1
3	3	2000-01-06	1.5291	0.9686	1.9436	0.607	1.84	1.4571	8.2797	7.7785	...	1.6655	7.2125	105.19	3.8	7.94	8.3675	72.95	1.554	31.75	37.62
4	4	2000-01-07	1.5272	0.9714	1.938	0.6104	1.831	1.4505	8.2794	7.7783	...	1.6625	7.2285	105.17	3.8	7.966	8.415	73.15	1.5623	30.85	37.3

5 rows × 24 columns

```{python}
# Figuring out all of the columns (and their names) available for me to use in the dataset
df.columns
```

Index(['Unnamed: 0', 'Time Serie', 'AUSTRALIA - AUSTRALIAN DOLLAR/US$',
       'EURO AREA - EURO/US$', 'NEW ZEALAND - NEW ZELAND DOLLAR/US$',
       'UNITED KINGDOM - UNITED KINGDOM POUND/US$', 'BRAZIL - REAL/US$',
       'CANADA - CANADIAN DOLLAR/US$', 'CHINA - YUAN/US$',
       'HONG KONG - HONG KONG DOLLAR/US$', 'INDIA - INDIAN RUPEE/US$',
       'KOREA - WON/US$', 'MEXICO - MEXICAN PESO/US$',
       'SOUTH AFRICA - RAND/US$', 'SINGAPORE - SINGAPORE DOLLAR/US$',
       'DENMARK - DANISH KRONE/US$', 'JAPAN - YEN/US$',
       'MALAYSIA - RINGGIT/US$', 'NORWAY - NORWEGIAN KRONE/US$',
       'SWEDEN - KRONA/US$', 'SRI LANKA - SRI LANKAN RUPEE/US$',
       'SWITZERLAND - FRANC/US$', 'TAIWAN - NEW TAIWAN DOLLAR/US$',
       'THAILAND - BAHT/US$'],
      dtype='object')

```{python}
# Figuring out the number of duplicated elements in the dataset
# (could be problematic if not resolved)
df.duplicated().sum()
```

0

```{python}
# Figuring out the number of 'null'/'NaN' elements in the dataset 
# (if NaN filling is needed or not)
(df.isnull().sum() / df.shape[0]) * 100
```

Unnamed: 0                                   0.0
Time Serie                                   0.0
AUSTRALIA - AUSTRALIAN DOLLAR/US$            0.0
EURO AREA - EURO/US$                         0.0
NEW ZEALAND - NEW ZELAND DOLLAR/US$          0.0
UNITED KINGDOM - UNITED KINGDOM POUND/US$    0.0
BRAZIL - REAL/US$                            0.0
CANADA - CANADIAN DOLLAR/US$                 0.0
CHINA - YUAN/US$                             0.0
HONG KONG - HONG KONG DOLLAR/US$             0.0
INDIA - INDIAN RUPEE/US$                     0.0
KOREA - WON/US$                              0.0
MEXICO - MEXICAN PESO/US$                    0.0
SOUTH AFRICA - RAND/US$                      0.0
SINGAPORE - SINGAPORE DOLLAR/US$             0.0
DENMARK - DANISH KRONE/US$                   0.0
JAPAN - YEN/US$                              0.0
MALAYSIA - RINGGIT/US$                       0.0
NORWAY - NORWEGIAN KRONE/US$                 0.0
SWEDEN - KRONA/US$                           0.0
SRI LANKA - SRI LANKAN RUPEE/US$             0.0
SWITZERLAND - FRANC/US$                      0.0
TAIWAN - NEW TAIWAN DOLLAR/US$               0.0
THAILAND - BAHT/US$                          0.0
dtype: float64

```{python}
# Getting basic information about the dataset
df.info()
```

<class 'pandas.core.frame.DataFrame'>
RangeIndex: 5217 entries, 0 to 5216
Data columns (total 24 columns):
 #   Column                                     Non-Null Count  Dtype 
---  ------                                     --------------  ----- 
 0   Unnamed: 0                                 5217 non-null   int64 
 1   Time Serie                                 5217 non-null   object
 2   AUSTRALIA - AUSTRALIAN DOLLAR/US$          5217 non-null   object
 3   EURO AREA - EURO/US$                       5217 non-null   object
 4   NEW ZEALAND - NEW ZELAND DOLLAR/US$        5217 non-null   object
 5   UNITED KINGDOM - UNITED KINGDOM POUND/US$  5217 non-null   object
 6   BRAZIL - REAL/US$                          5217 non-null   object
 7   CANADA - CANADIAN DOLLAR/US$               5217 non-null   object
 8   CHINA - YUAN/US$                           5217 non-null   object
 9   HONG KONG - HONG KONG DOLLAR/US$           5217 non-null   object
 10  INDIA - INDIAN RUPEE/US$                   5217 non-null   object
 11  KOREA - WON/US$                            5217 non-null   object
 12  MEXICO - MEXICAN PESO/US$                  5217 non-null   object
 13  SOUTH AFRICA - RAND/US$                    5217 non-null   object
 14  SINGAPORE - SINGAPORE DOLLAR/US$           5217 non-null   object
 15  DENMARK - DANISH KRONE/US$                 5217 non-null   object
 16  JAPAN - YEN/US$                            5217 non-null   object
 17  MALAYSIA - RINGGIT/US$                     5217 non-null   object
 18  NORWAY - NORWEGIAN KRONE/US$               5217 non-null   object
 19  SWEDEN - KRONA/US$                         5217 non-null   object
 20  SRI LANKA - SRI LANKAN RUPEE/US$           5217 non-null   object
 21  SWITZERLAND - FRANC/US$                    5217 non-null   object
 22  TAIWAN - NEW TAIWAN DOLLAR/US$             5217 non-null   object
 23  THAILAND - BAHT/US$                        5217 non-null   object
dtypes: int64(1), object(23)
memory usage: 978.3+ KB

Additionally, before handing my combined Book dataset over for Machine Learning training and prediction, I need to clean the data prior to the analysis stage: removing duplicates, deleting null/NaN vales, fixing types of columns, filling invalid values with suitable alternatives, etc.

```{python}
# Removing unnecessary/unnamed columns in the dataset
df = df.drop("Unnamed: 0", axis=1)
df
```

	Time Serie	AUSTRALIA - AUSTRALIAN DOLLAR/US$	EURO AREA - EURO/US$	NEW ZEALAND - NEW ZELAND DOLLAR/US$	UNITED KINGDOM - UNITED KINGDOM POUND/US$	BRAZIL - REAL/US$	CANADA - CANADIAN DOLLAR/US$	CHINA - YUAN/US$	HONG KONG - HONG KONG DOLLAR/US$	INDIA - INDIAN RUPEE/US$	...	SINGAPORE - SINGAPORE DOLLAR/US$	DENMARK - DANISH KRONE/US$	JAPAN - YEN/US$	MALAYSIA - RINGGIT/US$	NORWAY - NORWEGIAN KRONE/US$	SWEDEN - KRONA/US$	SRI LANKA - SRI LANKAN RUPEE/US$	SWITZERLAND - FRANC/US$	TAIWAN - NEW TAIWAN DOLLAR/US$	THAILAND - BAHT/US$
0	2000-01-03	1.5172	0.9847	1.9033	0.6146	1.805	1.4465	8.2798	7.7765	43.55	...	1.6563	7.329	101.7	3.8	7.964	8.443	72.3	1.5808	31.38	36.97
1	2000-01-04	1.5239	0.97	1.9238	0.6109	1.8405	1.4518	8.2799	7.7775	43.55	...	1.6535	7.218	103.09	3.8	7.934	8.36	72.65	1.5565	30.6	37.13
2	2000-01-05	1.5267	0.9676	1.9339	0.6092	1.856	1.4518	8.2798	7.778	43.55	...	1.656	7.208	103.77	3.8	7.935	8.353	72.95	1.5526	30.8	37.1
3	2000-01-06	1.5291	0.9686	1.9436	0.607	1.84	1.4571	8.2797	7.7785	43.55	...	1.6655	7.2125	105.19	3.8	7.94	8.3675	72.95	1.554	31.75	37.62
4	2000-01-07	1.5272	0.9714	1.938	0.6104	1.831	1.4505	8.2794	7.7783	43.55	...	1.6625	7.2285	105.17	3.8	7.966	8.415	73.15	1.5623	30.85	37.3
...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...
5212	2019-12-25	ND	ND	ND	ND	ND	ND	ND	ND	ND	...	ND	ND	ND	ND	ND	ND	ND	ND	ND	ND
5213	2019-12-26	1.4411	0.9007	1.5002	0.7688	4.0602	1.3124	6.9949	7.788	71.28	...	1.354	6.7295	109.67	4.1337	8.8799	9.4108	181.3	0.9808	30.11	30.15
5214	2019-12-27	1.4331	0.8949	1.4919	0.7639	4.0507	1.3073	6.9954	7.7874	71.45	...	1.352	6.6829	109.47	4.126	8.8291	9.3405	181.35	0.9741	30.09	30.14
5215	2019-12-30	1.4278	0.8915	1.4846	0.761	4.0152	1.3058	6.9864	7.7857	71.3	...	1.3483	6.6589	108.85	4.1053	8.7839	9.3145	181.6	0.9677	30.04	29.94
5216	2019-12-31	1.4225	0.8907	1.4826	0.7536	4.019	1.2962	6.9618	7.7894	71.36	...	1.3446	6.6554	108.67	4.0918	8.7823	9.3425	181.3	0.9677	29.91	29.75

5217 rows × 23 columns

```{python}
# Converting the date column into a string representation to a parsable
# Datetime object (needed for later)
df = df.rename(columns={"Time Serie": "DATE"})

def str_to_datetime(date_str: str):
    split = tuple(date_str.split("-"))
    year, month, day = int(split[0]), int(split[1]), int(split[2])
    return dt.datetime(year, month, day)

df["DATE"] = df["DATE"].apply(str_to_datetime)
df["DATE"]
```

0      2000-01-03
1      2000-01-04
2      2000-01-05
3      2000-01-06
4      2000-01-07
          ...    
5212   2019-12-25
5213   2019-12-26
5214   2019-12-27
5215   2019-12-30
5216   2019-12-31
Name: DATE, Length: 5217, dtype: datetime64[ns]

As shown below, I had decided to filter out all of the countries except Austrailia, Canada, the United Kingdom, and Switzerland because those countries had the most stable and consistent international currency rates as well as the most comparable (1:1) currency rates with the United States. One additional reason that these countries were selected for this blog post was do the geographical diversity covered most landmass continents across the world, representative of the global market interactions that the United States deals with on a day-to-day basis.

```{python}
# Making the "Date" column the new index (better identifer/key in dataset)
# Taking out other countries except Austrailia, Canada, UK, and 
# Switzerland from dataset for Machine Learning blog post
df.index = df.pop("DATE")
df = df[["AUSTRALIA - AUSTRALIAN DOLLAR/US$", 
         "CANADA - CANADIAN DOLLAR/US$",
         "UNITED KINGDOM - UNITED KINGDOM POUND/US$",
         "SWITZERLAND - FRANC/US$"]]
df
```

	AUSTRALIA - AUSTRALIAN DOLLAR/US$	CANADA - CANADIAN DOLLAR/US$	UNITED KINGDOM - UNITED KINGDOM POUND/US$	SWITZERLAND - FRANC/US$
DATE
2000-01-03	1.5172	1.4465	0.6146	1.5808
2000-01-04	1.5239	1.4518	0.6109	1.5565
2000-01-05	1.5267	1.4518	0.6092	1.5526
2000-01-06	1.5291	1.4571	0.607	1.554
2000-01-07	1.5272	1.4505	0.6104	1.5623
...	...	...	...	...
2019-12-25	ND	ND	ND	ND
2019-12-26	1.4411	1.3124	0.7688	0.9808
2019-12-27	1.4331	1.3073	0.7639	0.9741
2019-12-30	1.4278	1.3058	0.761	0.9677
2019-12-31	1.4225	1.2962	0.7536	0.9677

5217 rows × 4 columns

```{python}
# Converting of all numerical international currency rates to 2-decimal 
# rates (easier to work with for later)
for col in df:
    df[col] = df[col].map(lambda entry: entry if entry == "ND" else round(float(entry), 2))
df
```

	AUSTRALIA - AUSTRALIAN DOLLAR/US$	CANADA - CANADIAN DOLLAR/US$	UNITED KINGDOM - UNITED KINGDOM POUND/US$	SWITZERLAND - FRANC/US$
DATE
2000-01-03	1.52	1.45	0.61	1.58
2000-01-04	1.52	1.45	0.61	1.56
2000-01-05	1.53	1.45	0.61	1.55
2000-01-06	1.53	1.46	0.61	1.55
2000-01-07	1.53	1.45	0.61	1.56
...	...	...	...	...
2019-12-25	ND	ND	ND	ND
2019-12-26	1.44	1.31	0.77	0.98
2019-12-27	1.43	1.31	0.76	0.97
2019-12-30	1.43	1.31	0.76	0.97
2019-12-31	1.42	1.3	0.75	0.97

5217 rows × 4 columns

```{python}
# Removing all of the dated rows that contains "ND" as a way to avoid problems 
# when trying to interlay Machine Learning algorithms that require only
# quantitative data with categorical entries
nd_index_list: set[str] = set()
for row_index, _ in df.iterrows():
    for col_entry in df.loc[row_index]:
        if col_entry == "ND":
             nd_index_list.add(row_index)

df = df.drop(labels=list(nd_index_list), axis=0)
df
```

	AUSTRALIA - AUSTRALIAN DOLLAR/US$	CANADA - CANADIAN DOLLAR/US$	UNITED KINGDOM - UNITED KINGDOM POUND/US$	SWITZERLAND - FRANC/US$
DATE
2000-01-03	1.52	1.45	0.61	1.58
2000-01-04	1.52	1.45	0.61	1.56
2000-01-05	1.53	1.45	0.61	1.55
2000-01-06	1.53	1.46	0.61	1.55
2000-01-07	1.53	1.45	0.61	1.56
...	...	...	...	...
2019-12-24	1.44	1.32	0.77	0.98
2019-12-26	1.44	1.31	0.77	0.98
2019-12-27	1.43	1.31	0.76	0.97
2019-12-30	1.43	1.31	0.76	0.97
2019-12-31	1.42	1.3	0.75	0.97

5019 rows × 4 columns

As shown in the code snippet below, with some online references, the df_to_windowed_df function describes a way to use prediction values. A new international currency rate dataframe is created which includes the rows encompassing the 3 previous dates prior to the current date of when the international currency rate was reported as well as the current rate that day. This would be helpful for later Machine Learning predictions because the previous 3 dates and the current will provide it enough context to make more insightful predictions on the future of the international currency rates between that respective country specified and the United States. Later, as you will see, the 3 previous days are going to be the input and the current currency rate (Target) will be our output.

```{python}
def df_to_windowed_df(data_frame: pd.DataFrame, first_date_str: str, last_date_str: str, n: int, col_name: str):
    first_date = str_to_datetime(first_date_str)
    last_date = str_to_datetime(last_date_str)
    
    target_date = first_date
    
    dates: list = []
    X: list = []
    Y: list = []
    
    last_time = False
    while True:
        df_subset = data_frame.loc[:target_date].tail(n + 1)
        
        if (len(df_subset) != n + 1):
            print("Error: Window of size " + str(n) + " is too large for date " + str(target_date))
            return
        
        values = df_subset[col_name].to_numpy()
        x, y = values[:-1], values[-1]
        
        dates.append(target_date)
        X.append(x)
        Y.append(y)
        
        next_week = data_frame.loc[target_date:target_date + dt.timedelta(days=7)]
        next_datetime_str = str(next_week.head(2).tail(1).index.values[0])
        next_date_str = next_datetime_str.split("T")[0]
        year_month_day = next_date_str.split("-")
        year, month, day = year_month_day
        next_date = dt.datetime(year=int(year), month=int(month), day=int(day))
        
        if last_time:
            break
        
        target_date = next_date
        if (target_date == last_date):
            last_time = True
    
    returned_df = pd.DataFrame({})
    returned_df["Target Date"] = dates
    
    X = np.array(X)
    for i in range(0, n):
        X[:, i]
        returned_df["Target-" + str(n - i)] = X[:, i]
    returned_df["Target"] = Y
    
    return returned_df 
```

Thus, with the df_to_windowed_df function created, we created one for every country to later use for Machine Learning model training and eventual predictions of future rates: Austrailia, Canada, the United Kingdom, and Switzerland.

```{python}
# Convert Austrailia's dataframe to a windowed dataframe
windowed_df_austrailia = df_to_windowed_df(data_frame=df, 
                                first_date_str="2000-01-06",
                                last_date_str="2019-12-31",
                                n=3,
                                col_name="AUSTRALIA - AUSTRALIAN DOLLAR/US$")
windowed_df_austrailia  
```

	Target Date	Target-3	Target-2	Target-1	Target
0	2000-01-06	1.52	1.52	1.53	1.53
1	2000-01-07	1.52	1.53	1.53	1.53
2	2000-01-10	1.53	1.53	1.53	1.52
3	2000-01-11	1.53	1.53	1.52	1.52
4	2000-01-12	1.53	1.52	1.52	1.52
...	...	...	...	...	...
5011	2019-12-24	1.45	1.45	1.45	1.44
5012	2019-12-26	1.45	1.45	1.44	1.44
5013	2019-12-27	1.45	1.44	1.44	1.43
5014	2019-12-30	1.44	1.44	1.43	1.43
5015	2019-12-31	1.44	1.43	1.43	1.42

5016 rows × 5 columns

```{python}
# Convert Canada's dataframe to a windowed dataframe
windowed_df_canada = df_to_windowed_df(data_frame=df, 
                                first_date_str="2000-01-06",
                                last_date_str="2019-12-31",
                                n=3,
                                col_name="CANADA - CANADIAN DOLLAR/US$")
windowed_df_canada
```

	Target Date	Target-3	Target-2	Target-1	Target
0	2000-01-06	1.45	1.45	1.45	1.46
1	2000-01-07	1.45	1.45	1.46	1.45
2	2000-01-10	1.45	1.46	1.45	1.46
3	2000-01-11	1.46	1.45	1.46	1.46
4	2000-01-12	1.45	1.46	1.46	1.46
...	...	...	...	...	...
5011	2019-12-24	1.31	1.32	1.32	1.32
5012	2019-12-26	1.32	1.32	1.32	1.31
5013	2019-12-27	1.32	1.32	1.31	1.31
5014	2019-12-30	1.32	1.31	1.31	1.31
5015	2019-12-31	1.31	1.31	1.31	1.30

5016 rows × 5 columns

```{python}
# Convert United Kingdom's dataframe to a windowed dataframe
windowed_df_united_kingdom = df_to_windowed_df(data_frame=df, 
                                first_date_str="2000-01-06",
                                last_date_str="2019-12-31",
                                n=3,
                                col_name="UNITED KINGDOM - UNITED KINGDOM POUND/US$")
windowed_df_united_kingdom
```

	Target Date	Target-3	Target-2	Target-1	Target
0	2000-01-06	0.61	0.61	0.61	0.61
1	2000-01-07	0.61	0.61	0.61	0.61
2	2000-01-10	0.61	0.61	0.61	0.61
3	2000-01-11	0.61	0.61	0.61	0.61
4	2000-01-12	0.61	0.61	0.61	0.61
...	...	...	...	...	...
5011	2019-12-24	0.77	0.77	0.77	0.77
5012	2019-12-26	0.77	0.77	0.77	0.77
5013	2019-12-27	0.77	0.77	0.77	0.76
5014	2019-12-30	0.77	0.77	0.76	0.76
5015	2019-12-31	0.77	0.76	0.76	0.75

5016 rows × 5 columns

```{python}
# Convert Switzerland's dataframe to a windowed dataframe
windowed_df_switzerland = df_to_windowed_df(data_frame=df, 
                                first_date_str="2000-01-06",
                                last_date_str="2019-12-31",
                                n=3,
                                col_name="SWITZERLAND - FRANC/US$")
windowed_df_switzerland
```

	Target Date	Target-3	Target-2	Target-1	Target
0	2000-01-06	1.58	1.56	1.55	1.55
1	2000-01-07	1.56	1.55	1.55	1.56
2	2000-01-10	1.55	1.55	1.56	1.57
3	2000-01-11	1.55	1.56	1.57	1.56
4	2000-01-12	1.56	1.57	1.56	1.57
...	...	...	...	...	...
5011	2019-12-24	0.98	0.98	0.98	0.98
5012	2019-12-26	0.98	0.98	0.98	0.98
5013	2019-12-27	0.98	0.98	0.98	0.97
5014	2019-12-30	0.98	0.98	0.97	0.97
5015	2019-12-31	0.98	0.97	0.97	0.97

5016 rows × 5 columns

As the Machine Learning model that will be used later in this blog post only accepts numpy arrays, we need to extract each of the following quantities from each respective country’s dataframe: the dates as an np.array, the X-values for input as an 3-dimensional np.array, and the Y-values for output as an np.array. Thus, with some online references, our codebase now has a function called windowed_df_to_date_X_y as shown below to account for this needed transformation.

```{python}
def windowed_df_to_date_X_y(windowed_dataframe: pd.DataFrame):
    df_as_np = windowed_dataframe.to_numpy()
    
    dates = df_as_np[:, 0]
    
    middle_matrix = df_as_np[:, 1:-1]
    X = middle_matrix.reshape((len(dates), middle_matrix.shape[1], 1))
    Y = df_as_np[:, -1]
    
    return dates, X.astype(np.float32), Y.astype(np.float32)

dates_austrailia, X_austrailia, y_austrailia = windowed_df_to_date_X_y(windowed_dataframe=windowed_df_austrailia)
dates_canada, X_canada, y_canada = windowed_df_to_date_X_y(windowed_dataframe=windowed_df_canada)
dates_united_kingdom, X_united_kingdom, y_united_kingdom = windowed_df_to_date_X_y(windowed_dataframe=windowed_df_united_kingdom)
dates_switzerland, X_switzerland, y_switzerland = windowed_df_to_date_X_y(windowed_dataframe=windowed_df_switzerland)

print(dates_austrailia.shape, X_austrailia.shape, y_austrailia.shape)
print(dates_canada.shape, X_canada.shape, y_canada.shape)
print(dates_united_kingdom.shape, X_united_kingdom.shape, y_united_kingdom.shape)
print(dates_switzerland.shape, X_switzerland.shape, y_switzerland.shape)
len(windowed_df_austrailia), len(windowed_df_canada), len(windowed_df_united_kingdom), len(windowed_df_switzerland)
```

(5016,) (5016, 3, 1) (5016,)
(5016,) (5016, 3, 1) (5016,)
(5016,) (5016, 3, 1) (5016,)
(5016,) (5016, 3, 1) (5016,)

(5016, 5016, 5016, 5016)

Here, I am trying to a visualization of the cleaned dataset before we pass it over for Machine Learning training and prediction. To show the rate of change for the International Currency Rates for Austrailia, Canada, the United Kingdom, and Switzerland over the 20-year period as collected in the data set, I put together a line graph as shown below.

```{python}
# Plotting the each four countries currency rates (per US dollar) from 
# 2000 - 2020
plt.plot(df.index, df["AUSTRALIA - AUSTRALIAN DOLLAR/US$"], label="AUS to USD", linewidth=1)
plt.plot(df.index, df[ "CANADA - CANADIAN DOLLAR/US$"], label="CAN to USD", linewidth=1)
plt.plot(df.index, df["UNITED KINGDOM - UNITED KINGDOM POUND/US$"], label="GBR to USD", linewidth=1)
plt.plot(df.index, df["SWITZERLAND - FRANC/US$"], label="CHE to USD", linewidth=1)

plt.legend(loc="upper right")
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date", fontsize=12)
plt.ylabel("Currency Rate of the Respective Country to USD", fontsize=12)
plt.title("Culmination of the All Four Countries' Datasets - After Parsing But Before Machine Learning Alterations")
plt.show()
```

Machine Learning - Model Training and Evaluation

Great, now we are onto the Machine Learning part of the blog post!

For this blog post, I worked to create Machine Learning models for each country’s dataset separately. I started with Austrailia’s data first (as shown below):

```{python}
# Getting the location of the 80th and 90th percentile of the number of points 
# in the dataset for later train, vailidation, and test category splitting
percentile_80 = int(len(windowed_df_austrailia) * 0.8)
percentile_90 = int(len(windowed_df_austrailia) * 0.9)
percentile_80, percentile_90
```

(4012, 4514)

Since the data (date, X, and y) is split into three np.arrays and to be more efficient, I will manually split Austrailia’s data into train, test, and validation datasets for the Machine Learning model with 80% going to the training dataset, the next 10% going to the validation dataset, and the last 10% going to the test dataset for each np.array respectively. This split should be acceptable because I did not mix-and-match training & validation datasets with my testing datasets, wihch would invalidate my entire Machine Learning model. Additionally, looking at the presented in the validation and testing datasets, the range of these respective datasets have been reached before in my training dataset, meaning I anticipated my model should be able to reasonably predict these expected ranges with considerable accuracy.

```{python}
# Splitting Austrailia's data into train, test, and validation sets on 3 
# mediums: the X-axis, the y-axis, and the indices (represented by dates)
dates_austrailia_train, X_austrailia_train, y_austrailia_train = dates_austrailia[:percentile_80], X_austrailia[:percentile_80], y_austrailia[:percentile_80]
dates_austrailia_val, X_austrailia_val, y_austrailia_val = dates_austrailia[percentile_80:percentile_90], X_austrailia[percentile_80:percentile_90], y_austrailia[percentile_80:percentile_90]
dates_austrailia_test, X_austrailia_test, y_austrailia_test = dates_austrailia[percentile_90:], X_austrailia[percentile_90:], y_austrailia[percentile_90:]

plt.plot(dates_austrailia_train, y_austrailia_train, linewidth=1)
plt.plot(dates_austrailia_val, y_austrailia_val, linewidth=1)
plt.plot(dates_austrailia_test, y_austrailia_test, linewidth=1)

plt.legend(["Training", "Validation", "Testing"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Split of Austrailia's Data for LSTM Model")
plt.show()
```

Now, I began to configure the Machine Learning model. We added Sequential layers: an Input layer 3 by 1 because we will have 3 np.arrays of Input and 1 np.array as output, utilize a LSTM (Long Short-Term Memory) layer of 64 neurons, apply 2 levels of dense layers with 32 neurons and folliowing recommendations online to use the RELU (Rectified Linear Unit) Activiation Function, and I followed up with one last dense layer of 1 neuron as our output layer since we are just trying to linearly-predict the next currency-rate on a near-future date. Once I configured the Sequential layers, we are ready to compile the model, utilzing the mean_square_error as our minimizing loss function, using the Adam optimizer, and comparing our trained model against our data with the mean_absolute_error metric. Lastly, I fitted our model, utilzing our X_train and Y_train datasets for fitting with validation from our X_valid and Y_valid datasets at 100 epochs.

```{python}
# Configuring the Machine Learning Tensorflow Model for Austrailia
austrailia_model = Sequential([layers.Input((3, 1)),
                    layers.LSTM(64),
                    layers.Dense(32, activation="relu"),
                    layers.Dense(32, activation="relu"),
                    layers.Dense(1)])

austrailia_model.compile(loss="mse",
              optimizer=Adam(learning_rate=0.001),
              metrics=["mean_absolute_error"])

austrailia_model.fit(X_austrailia_train, y_austrailia_train, validation_data=(X_austrailia_val, y_austrailia_val), epochs=100)
```

Epoch 1/100
  1/126 [..............................] - ETA: 3:37 - loss: 1.7536 - mean_absolute_error: 1.2952 21/126 [====>.........................] - ETA: 0s - loss: 1.1162 - mean_absolute_error: 1.0100   44/126 [=========>....................] - ETA: 0s - loss: 0.5853 - mean_absolute_error: 0.6193 66/126 [==============>...............] - ETA: 0s - loss: 0.3937 - mean_absolute_error: 0.4392 88/126 [===================>..........] - ETA: 0s - loss: 0.2966 - mean_absolute_error: 0.3450111/126 [=========================>....] - ETA: 0s - loss: 0.2360 - mean_absolute_error: 0.2845126/126 [==============================] - 2s 6ms/step - loss: 0.2093 - mean_absolute_error: 0.2571 - val_loss: 1.6054e-04 - val_mean_absolute_error: 0.0101
Epoch 2/100
  1/126 [..............................] - ETA: 0s - loss: 0.0035 - mean_absolute_error: 0.0481 24/126 [====>.........................] - ETA: 0s - loss: 0.0028 - mean_absolute_error: 0.0437 46/126 [=========>....................] - ETA: 0s - loss: 0.0025 - mean_absolute_error: 0.0418 68/126 [===============>..............] - ETA: 0s - loss: 0.0022 - mean_absolute_error: 0.0391 91/126 [====================>.........] - ETA: 0s - loss: 0.0020 - mean_absolute_error: 0.0366113/126 [=========================>....] - ETA: 0s - loss: 0.0018 - mean_absolute_error: 0.0344126/126 [==============================] - 0s 3ms/step - loss: 0.0017 - mean_absolute_error: 0.0332 - val_loss: 1.2231e-04 - val_mean_absolute_error: 0.0086
Epoch 3/100
  1/126 [..............................] - ETA: 0s - loss: 6.8839e-04 - mean_absolute_error: 0.0211 23/126 [====>.........................] - ETA: 0s - loss: 5.6958e-04 - mean_absolute_error: 0.0192 46/126 [=========>....................] - ETA: 0s - loss: 5.3205e-04 - mean_absolute_error: 0.0183 67/126 [==============>...............] - ETA: 0s - loss: 4.9201e-04 - mean_absolute_error: 0.0175 88/126 [===================>..........] - ETA: 0s - loss: 4.5517e-04 - mean_absolute_error: 0.0167110/126 [=========================>....] - ETA: 0s - loss: 4.3286e-04 - mean_absolute_error: 0.0161126/126 [==============================] - 0s 3ms/step - loss: 4.1454e-04 - mean_absolute_error: 0.0157 - val_loss: 1.4910e-04 - val_mean_absolute_error: 0.0095
Epoch 4/100
  1/126 [..............................] - ETA: 0s - loss: 1.8700e-04 - mean_absolute_error: 0.0116 23/126 [====>.........................] - ETA: 0s - loss: 3.2906e-04 - mean_absolute_error: 0.0132 46/126 [=========>....................] - ETA: 0s - loss: 2.8870e-04 - mean_absolute_error: 0.0126 68/126 [===============>..............] - ETA: 0s - loss: 2.8776e-04 - mean_absolute_error: 0.0125 91/126 [====================>.........] - ETA: 0s - loss: 2.7597e-04 - mean_absolute_error: 0.0123113/126 [=========================>....] - ETA: 0s - loss: 2.7640e-04 - mean_absolute_error: 0.0123126/126 [==============================] - 0s 3ms/step - loss: 2.6825e-04 - mean_absolute_error: 0.0121 - val_loss: 1.5108e-04 - val_mean_absolute_error: 0.0096
Epoch 5/100
  1/126 [..............................] - ETA: 0s - loss: 1.5485e-04 - mean_absolute_error: 0.0097 23/126 [====>.........................] - ETA: 0s - loss: 2.5309e-04 - mean_absolute_error: 0.0116 45/126 [=========>....................] - ETA: 0s - loss: 2.5677e-04 - mean_absolute_error: 0.0116 67/126 [==============>...............] - ETA: 0s - loss: 2.6513e-04 - mean_absolute_error: 0.0118 90/126 [====================>.........] - ETA: 0s - loss: 2.6179e-04 - mean_absolute_error: 0.0118113/126 [=========================>....] - ETA: 0s - loss: 2.5722e-04 - mean_absolute_error: 0.0117126/126 [==============================] - 0s 3ms/step - loss: 2.6367e-04 - mean_absolute_error: 0.0118 - val_loss: 1.4980e-04 - val_mean_absolute_error: 0.0096
Epoch 6/100
  1/126 [..............................] - ETA: 0s - loss: 2.8081e-04 - mean_absolute_error: 0.0135 22/126 [====>.........................] - ETA: 0s - loss: 2.7708e-04 - mean_absolute_error: 0.0122 35/126 [=======>......................] - ETA: 0s - loss: 2.6291e-04 - mean_absolute_error: 0.0119 54/126 [===========>..................] - ETA: 0s - loss: 2.8262e-04 - mean_absolute_error: 0.0120 76/126 [=================>............] - ETA: 0s - loss: 2.7378e-04 - mean_absolute_error: 0.0119 99/126 [======================>.......] - ETA: 0s - loss: 2.6961e-04 - mean_absolute_error: 0.0118122/126 [============================>.] - ETA: 0s - loss: 2.6818e-04 - mean_absolute_error: 0.0119126/126 [==============================] - 0s 3ms/step - loss: 2.6778e-04 - mean_absolute_error: 0.0119 - val_loss: 1.2298e-04 - val_mean_absolute_error: 0.0087
Epoch 7/100
  1/126 [..............................] - ETA: 0s - loss: 7.7710e-04 - mean_absolute_error: 0.0170 23/126 [====>.........................] - ETA: 0s - loss: 2.3855e-04 - mean_absolute_error: 0.0111 45/126 [=========>....................] - ETA: 0s - loss: 2.6045e-04 - mean_absolute_error: 0.0116 67/126 [==============>...............] - ETA: 0s - loss: 2.4925e-04 - mean_absolute_error: 0.0115 90/126 [====================>.........] - ETA: 0s - loss: 2.5305e-04 - mean_absolute_error: 0.0116113/126 [=========================>....] - ETA: 0s - loss: 2.6602e-04 - mean_absolute_error: 0.0118126/126 [==============================] - 0s 3ms/step - loss: 2.6291e-04 - mean_absolute_error: 0.0117 - val_loss: 1.2072e-04 - val_mean_absolute_error: 0.0086
Epoch 8/100
  1/126 [..............................] - ETA: 0s - loss: 1.5483e-04 - mean_absolute_error: 0.0089 18/126 [===>..........................] - ETA: 0s - loss: 2.4902e-04 - mean_absolute_error: 0.0116 33/126 [======>.......................] - ETA: 0s - loss: 2.5307e-04 - mean_absolute_error: 0.0115 55/126 [============>.................] - ETA: 0s - loss: 2.6851e-04 - mean_absolute_error: 0.0116 77/126 [=================>............] - ETA: 0s - loss: 2.6948e-04 - mean_absolute_error: 0.0117 98/126 [======================>.......] - ETA: 0s - loss: 2.5601e-04 - mean_absolute_error: 0.0115121/126 [===========================>..] - ETA: 0s - loss: 2.5485e-04 - mean_absolute_error: 0.0116126/126 [==============================] - 0s 3ms/step - loss: 2.5898e-04 - mean_absolute_error: 0.0116 - val_loss: 1.2170e-04 - val_mean_absolute_error: 0.0086
Epoch 9/100
  1/126 [..............................] - ETA: 0s - loss: 2.2630e-04 - mean_absolute_error: 0.0115 24/126 [====>.........................] - ETA: 0s - loss: 2.7980e-04 - mean_absolute_error: 0.0120 46/126 [=========>....................] - ETA: 0s - loss: 2.6249e-04 - mean_absolute_error: 0.0117 68/126 [===============>..............] - ETA: 0s - loss: 2.6193e-04 - mean_absolute_error: 0.0117 89/126 [====================>.........] - ETA: 0s - loss: 2.6571e-04 - mean_absolute_error: 0.0117110/126 [=========================>....] - ETA: 0s - loss: 2.7204e-04 - mean_absolute_error: 0.0119126/126 [==============================] - 0s 3ms/step - loss: 2.6602e-04 - mean_absolute_error: 0.0118 - val_loss: 1.2155e-04 - val_mean_absolute_error: 0.0086
Epoch 10/100
  1/126 [..............................] - ETA: 0s - loss: 1.8352e-04 - mean_absolute_error: 0.0113 15/126 [==>...........................] - ETA: 0s - loss: 2.0576e-04 - mean_absolute_error: 0.0112 36/126 [=======>......................] - ETA: 0s - loss: 2.5220e-04 - mean_absolute_error: 0.0116 60/126 [=============>................] - ETA: 0s - loss: 2.5219e-04 - mean_absolute_error: 0.0116 82/126 [==================>...........] - ETA: 0s - loss: 2.4516e-04 - mean_absolute_error: 0.0115104/126 [=======================>......] - ETA: 0s - loss: 2.5153e-04 - mean_absolute_error: 0.0116126/126 [==============================] - 0s 3ms/step - loss: 2.5671e-04 - mean_absolute_error: 0.0117 - val_loss: 1.4643e-04 - val_mean_absolute_error: 0.0098
Epoch 11/100
  1/126 [..............................] - ETA: 0s - loss: 2.6912e-04 - mean_absolute_error: 0.0133 23/126 [====>.........................] - ETA: 0s - loss: 3.1709e-04 - mean_absolute_error: 0.0129 44/126 [=========>....................] - ETA: 0s - loss: 2.8045e-04 - mean_absolute_error: 0.0121 66/126 [==============>...............] - ETA: 0s - loss: 2.9848e-04 - mean_absolute_error: 0.0124 86/126 [===================>..........] - ETA: 0s - loss: 2.7852e-04 - mean_absolute_error: 0.0120106/126 [========================>.....] - ETA: 0s - loss: 2.6888e-04 - mean_absolute_error: 0.0119126/126 [==============================] - ETA: 0s - loss: 2.6743e-04 - mean_absolute_error: 0.0119126/126 [==============================] - 0s 3ms/step - loss: 2.6743e-04 - mean_absolute_error: 0.0119 - val_loss: 1.5739e-04 - val_mean_absolute_error: 0.0098
Epoch 12/100
  1/126 [..............................] - ETA: 0s - loss: 7.6784e-04 - mean_absolute_error: 0.0126 21/126 [====>.........................] - ETA: 0s - loss: 2.9609e-04 - mean_absolute_error: 0.0120 41/126 [========>.....................] - ETA: 0s - loss: 2.5901e-04 - mean_absolute_error: 0.0116 61/126 [=============>................] - ETA: 0s - loss: 2.5555e-04 - mean_absolute_error: 0.0116 80/126 [==================>...........] - ETA: 0s - loss: 2.5444e-04 - mean_absolute_error: 0.0116 99/126 [======================>.......] - ETA: 0s - loss: 2.5849e-04 - mean_absolute_error: 0.0116119/126 [===========================>..] - ETA: 0s - loss: 2.5175e-04 - mean_absolute_error: 0.0115126/126 [==============================] - 0s 3ms/step - loss: 2.5649e-04 - mean_absolute_error: 0.0116 - val_loss: 1.7536e-04 - val_mean_absolute_error: 0.0104
Epoch 13/100
  1/126 [..............................] - ETA: 0s - loss: 1.9098e-04 - mean_absolute_error: 0.0109 21/126 [====>.........................] - ETA: 0s - loss: 2.5221e-04 - mean_absolute_error: 0.0116 41/126 [========>.....................] - ETA: 0s - loss: 2.3442e-04 - mean_absolute_error: 0.0113 61/126 [=============>................] - ETA: 0s - loss: 2.5298e-04 - mean_absolute_error: 0.0116 81/126 [==================>...........] - ETA: 0s - loss: 2.5003e-04 - mean_absolute_error: 0.0116101/126 [=======================>......] - ETA: 0s - loss: 2.6935e-04 - mean_absolute_error: 0.0118121/126 [===========================>..] - ETA: 0s - loss: 2.6595e-04 - mean_absolute_error: 0.0118126/126 [==============================] - 0s 3ms/step - loss: 2.6427e-04 - mean_absolute_error: 0.0118 - val_loss: 1.2119e-04 - val_mean_absolute_error: 0.0086
Epoch 14/100
  1/126 [..............................] - ETA: 0s - loss: 2.4968e-04 - mean_absolute_error: 0.0130 20/126 [===>..........................] - ETA: 0s - loss: 2.2839e-04 - mean_absolute_error: 0.0114 40/126 [========>.....................] - ETA: 0s - loss: 2.4595e-04 - mean_absolute_error: 0.0115 60/126 [=============>................] - ETA: 0s - loss: 2.4369e-04 - mean_absolute_error: 0.0114 80/126 [==================>...........] - ETA: 0s - loss: 2.6672e-04 - mean_absolute_error: 0.0118100/126 [======================>.......] - ETA: 0s - loss: 2.6683e-04 - mean_absolute_error: 0.0118120/126 [===========================>..] - ETA: 0s - loss: 2.6351e-04 - mean_absolute_error: 0.0117126/126 [==============================] - 0s 3ms/step - loss: 2.6115e-04 - mean_absolute_error: 0.0117 - val_loss: 1.1999e-04 - val_mean_absolute_error: 0.0085
Epoch 15/100
  1/126 [..............................] - ETA: 0s - loss: 1.3807e-04 - mean_absolute_error: 0.0100 22/126 [====>.........................] - ETA: 0s - loss: 3.3496e-04 - mean_absolute_error: 0.0122 43/126 [=========>....................] - ETA: 0s - loss: 2.7093e-04 - mean_absolute_error: 0.0116 62/126 [=============>................] - ETA: 0s - loss: 2.6057e-04 - mean_absolute_error: 0.0116 82/126 [==================>...........] - ETA: 0s - loss: 2.5578e-04 - mean_absolute_error: 0.0115101/126 [=======================>......] - ETA: 0s - loss: 2.4389e-04 - mean_absolute_error: 0.0113120/126 [===========================>..] - ETA: 0s - loss: 2.5054e-04 - mean_absolute_error: 0.0114126/126 [==============================] - 0s 3ms/step - loss: 2.5163e-04 - mean_absolute_error: 0.0114 - val_loss: 1.3413e-04 - val_mean_absolute_error: 0.0090
Epoch 16/100
  1/126 [..............................] - ETA: 0s - loss: 2.3846e-04 - mean_absolute_error: 0.0133 22/126 [====>.........................] - ETA: 0s - loss: 2.6862e-04 - mean_absolute_error: 0.0117 42/126 [=========>....................] - ETA: 0s - loss: 2.7396e-04 - mean_absolute_error: 0.0115 62/126 [=============>................] - ETA: 0s - loss: 2.5671e-04 - mean_absolute_error: 0.0114 82/126 [==================>...........] - ETA: 0s - loss: 2.5250e-04 - mean_absolute_error: 0.0115 99/126 [======================>.......] - ETA: 0s - loss: 2.4926e-04 - mean_absolute_error: 0.0115112/126 [=========================>....] - ETA: 0s - loss: 2.5310e-04 - mean_absolute_error: 0.0115126/126 [==============================] - 0s 3ms/step - loss: 2.5241e-04 - mean_absolute_error: 0.0115 - val_loss: 1.2024e-04 - val_mean_absolute_error: 0.0086
Epoch 17/100
  1/126 [..............................] - ETA: 0s - loss: 2.3215e-04 - mean_absolute_error: 0.0116 20/126 [===>..........................] - ETA: 0s - loss: 2.8104e-04 - mean_absolute_error: 0.0118 39/126 [========>.....................] - ETA: 0s - loss: 2.7026e-04 - mean_absolute_error: 0.0121 59/126 [=============>................] - ETA: 0s - loss: 2.8696e-04 - mean_absolute_error: 0.0121 79/126 [=================>............] - ETA: 0s - loss: 2.8081e-04 - mean_absolute_error: 0.0120 99/126 [======================>.......] - ETA: 0s - loss: 2.6848e-04 - mean_absolute_error: 0.0117119/126 [===========================>..] - ETA: 0s - loss: 2.6246e-04 - mean_absolute_error: 0.0117126/126 [==============================] - 0s 3ms/step - loss: 2.6163e-04 - mean_absolute_error: 0.0117 - val_loss: 1.6688e-04 - val_mean_absolute_error: 0.0101
Epoch 18/100
  1/126 [..............................] - ETA: 0s - loss: 2.3690e-04 - mean_absolute_error: 0.0110 21/126 [====>.........................] - ETA: 0s - loss: 2.7222e-04 - mean_absolute_error: 0.0112 41/126 [========>.....................] - ETA: 0s - loss: 2.7429e-04 - mean_absolute_error: 0.0115 57/126 [============>.................] - ETA: 0s - loss: 2.6810e-04 - mean_absolute_error: 0.0115 69/126 [===============>..............] - ETA: 0s - loss: 2.7199e-04 - mean_absolute_error: 0.0117 88/126 [===================>..........] - ETA: 0s - loss: 2.6636e-04 - mean_absolute_error: 0.0116107/126 [========================>.....] - ETA: 0s - loss: 2.5787e-04 - mean_absolute_error: 0.0115126/126 [==============================] - ETA: 0s - loss: 2.5469e-04 - mean_absolute_error: 0.0115126/126 [==============================] - 0s 3ms/step - loss: 2.5469e-04 - mean_absolute_error: 0.0115 - val_loss: 1.4482e-04 - val_mean_absolute_error: 0.0097
Epoch 19/100
  1/126 [..............................] - ETA: 0s - loss: 2.4272e-04 - mean_absolute_error: 0.0135 21/126 [====>.........................] - ETA: 0s - loss: 2.5234e-04 - mean_absolute_error: 0.0123 41/126 [========>.....................] - ETA: 0s - loss: 2.5034e-04 - mean_absolute_error: 0.0118 61/126 [=============>................] - ETA: 0s - loss: 2.5503e-04 - mean_absolute_error: 0.0118 81/126 [==================>...........] - ETA: 0s - loss: 2.8567e-04 - mean_absolute_error: 0.0122101/126 [=======================>......] - ETA: 0s - loss: 2.8289e-04 - mean_absolute_error: 0.0120121/126 [===========================>..] - ETA: 0s - loss: 2.6965e-04 - mean_absolute_error: 0.0119126/126 [==============================] - 0s 3ms/step - loss: 2.6703e-04 - mean_absolute_error: 0.0118 - val_loss: 1.3337e-04 - val_mean_absolute_error: 0.0090
Epoch 20/100
  1/126 [..............................] - ETA: 0s - loss: 2.1512e-04 - mean_absolute_error: 0.0109 16/126 [==>...........................] - ETA: 0s - loss: 2.7084e-04 - mean_absolute_error: 0.0118 31/126 [======>.......................] - ETA: 0s - loss: 2.5751e-04 - mean_absolute_error: 0.0115 49/126 [==========>...................] - ETA: 0s - loss: 2.4463e-04 - mean_absolute_error: 0.0113 67/126 [==============>...............] - ETA: 0s - loss: 2.4007e-04 - mean_absolute_error: 0.0111 86/126 [===================>..........] - ETA: 0s - loss: 2.4223e-04 - mean_absolute_error: 0.0113105/126 [========================>.....] - ETA: 0s - loss: 2.5044e-04 - mean_absolute_error: 0.0115124/126 [============================>.] - ETA: 0s - loss: 2.5448e-04 - mean_absolute_error: 0.0115126/126 [==============================] - 0s 3ms/step - loss: 2.5503e-04 - mean_absolute_error: 0.0116 - val_loss: 1.2139e-04 - val_mean_absolute_error: 0.0086
Epoch 21/100
  1/126 [..............................] - ETA: 0s - loss: 2.1129e-04 - mean_absolute_error: 0.0103 21/126 [====>.........................] - ETA: 0s - loss: 2.3860e-04 - mean_absolute_error: 0.0114 41/126 [========>.....................] - ETA: 0s - loss: 2.8552e-04 - mean_absolute_error: 0.0120 61/126 [=============>................] - ETA: 0s - loss: 2.8301e-04 - mean_absolute_error: 0.0119 81/126 [==================>...........] - ETA: 0s - loss: 2.7176e-04 - mean_absolute_error: 0.0117101/126 [=======================>......] - ETA: 0s - loss: 2.6318e-04 - mean_absolute_error: 0.0117121/126 [===========================>..] - ETA: 0s - loss: 2.5934e-04 - mean_absolute_error: 0.0117126/126 [==============================] - 0s 3ms/step - loss: 2.5673e-04 - mean_absolute_error: 0.0116 - val_loss: 1.2545e-04 - val_mean_absolute_error: 0.0087
Epoch 22/100
  1/126 [..............................] - ETA: 0s - loss: 4.0328e-04 - mean_absolute_error: 0.0139 22/126 [====>.........................] - ETA: 0s - loss: 2.2869e-04 - mean_absolute_error: 0.0114 43/126 [=========>....................] - ETA: 0s - loss: 2.3343e-04 - mean_absolute_error: 0.0112 63/126 [==============>...............] - ETA: 0s - loss: 2.4954e-04 - mean_absolute_error: 0.0113 83/126 [==================>...........] - ETA: 0s - loss: 2.4450e-04 - mean_absolute_error: 0.0113103/126 [=======================>......] - ETA: 0s - loss: 2.4704e-04 - mean_absolute_error: 0.0114122/126 [============================>.] - ETA: 0s - loss: 2.4422e-04 - mean_absolute_error: 0.0114126/126 [==============================] - 0s 3ms/step - loss: 2.5302e-04 - mean_absolute_error: 0.0115 - val_loss: 1.4134e-04 - val_mean_absolute_error: 0.0096
Epoch 23/100
  1/126 [..............................] - ETA: 0s - loss: 1.8840e-04 - mean_absolute_error: 0.0112 21/126 [====>.........................] - ETA: 0s - loss: 2.2692e-04 - mean_absolute_error: 0.0112 41/126 [========>.....................] - ETA: 0s - loss: 2.7980e-04 - mean_absolute_error: 0.0118 61/126 [=============>................] - ETA: 0s - loss: 2.7300e-04 - mean_absolute_error: 0.0120 81/126 [==================>...........] - ETA: 0s - loss: 2.6322e-04 - mean_absolute_error: 0.0119101/126 [=======================>......] - ETA: 0s - loss: 2.6529e-04 - mean_absolute_error: 0.0119121/126 [===========================>..] - ETA: 0s - loss: 2.6993e-04 - mean_absolute_error: 0.0120126/126 [==============================] - 0s 3ms/step - loss: 2.6746e-04 - mean_absolute_error: 0.0119 - val_loss: 1.2518e-04 - val_mean_absolute_error: 0.0087
Epoch 24/100
  1/126 [..............................] - ETA: 0s - loss: 9.9589e-05 - mean_absolute_error: 0.0082 22/126 [====>.........................] - ETA: 0s - loss: 2.2603e-04 - mean_absolute_error: 0.0111 42/126 [=========>....................] - ETA: 0s - loss: 2.6909e-04 - mean_absolute_error: 0.0115 62/126 [=============>................] - ETA: 0s - loss: 2.5605e-04 - mean_absolute_error: 0.0115 82/126 [==================>...........] - ETA: 0s - loss: 2.6567e-04 - mean_absolute_error: 0.0118102/126 [=======================>......] - ETA: 0s - loss: 2.6468e-04 - mean_absolute_error: 0.0117122/126 [============================>.] - ETA: 0s - loss: 2.5637e-04 - mean_absolute_error: 0.0116126/126 [==============================] - 0s 3ms/step - loss: 2.5512e-04 - mean_absolute_error: 0.0116 - val_loss: 1.2047e-04 - val_mean_absolute_error: 0.0087
Epoch 25/100
  1/126 [..............................] - ETA: 0s - loss: 6.9919e-04 - mean_absolute_error: 0.0176 22/126 [====>.........................] - ETA: 0s - loss: 2.6877e-04 - mean_absolute_error: 0.0122 42/126 [=========>....................] - ETA: 0s - loss: 3.0495e-04 - mean_absolute_error: 0.0122 62/126 [=============>................] - ETA: 0s - loss: 2.9283e-04 - mean_absolute_error: 0.0122 82/126 [==================>...........] - ETA: 0s - loss: 2.8173e-04 - mean_absolute_error: 0.0121101/126 [=======================>......] - ETA: 0s - loss: 2.7046e-04 - mean_absolute_error: 0.0119120/126 [===========================>..] - ETA: 0s - loss: 2.5942e-04 - mean_absolute_error: 0.0117126/126 [==============================] - 0s 3ms/step - loss: 2.5873e-04 - mean_absolute_error: 0.0117 - val_loss: 1.2909e-04 - val_mean_absolute_error: 0.0091
Epoch 26/100
  1/126 [..............................] - ETA: 0s - loss: 2.9025e-04 - mean_absolute_error: 0.0125 21/126 [====>.........................] - ETA: 0s - loss: 2.8592e-04 - mean_absolute_error: 0.0124 42/126 [=========>....................] - ETA: 0s - loss: 2.5877e-04 - mean_absolute_error: 0.0120 63/126 [==============>...............] - ETA: 0s - loss: 2.8245e-04 - mean_absolute_error: 0.0125 84/126 [===================>..........] - ETA: 0s - loss: 2.8263e-04 - mean_absolute_error: 0.0124104/126 [=======================>......] - ETA: 0s - loss: 2.7074e-04 - mean_absolute_error: 0.0121124/126 [============================>.] - ETA: 0s - loss: 2.7707e-04 - mean_absolute_error: 0.0121126/126 [==============================] - 0s 3ms/step - loss: 2.7602e-04 - mean_absolute_error: 0.0121 - val_loss: 1.2145e-04 - val_mean_absolute_error: 0.0087
Epoch 27/100
  1/126 [..............................] - ETA: 0s - loss: 1.5246e-04 - mean_absolute_error: 0.0107 22/126 [====>.........................] - ETA: 0s - loss: 2.6882e-04 - mean_absolute_error: 0.0118 42/126 [=========>....................] - ETA: 0s - loss: 3.0453e-04 - mean_absolute_error: 0.0126 63/126 [==============>...............] - ETA: 0s - loss: 2.7127e-04 - mean_absolute_error: 0.0121 82/126 [==================>...........] - ETA: 0s - loss: 2.6431e-04 - mean_absolute_error: 0.0118102/126 [=======================>......] - ETA: 0s - loss: 2.6329e-04 - mean_absolute_error: 0.0117122/126 [============================>.] - ETA: 0s - loss: 2.6064e-04 - mean_absolute_error: 0.0117126/126 [==============================] - 0s 3ms/step - loss: 2.5780e-04 - mean_absolute_error: 0.0116 - val_loss: 1.3657e-04 - val_mean_absolute_error: 0.0091
Epoch 28/100
  1/126 [..............................] - ETA: 0s - loss: 1.9390e-04 - mean_absolute_error: 0.0107 21/126 [====>.........................] - ETA: 0s - loss: 2.0104e-04 - mean_absolute_error: 0.0106 42/126 [=========>....................] - ETA: 0s - loss: 2.1584e-04 - mean_absolute_error: 0.0109 62/126 [=============>................] - ETA: 0s - loss: 2.5397e-04 - mean_absolute_error: 0.0115 81/126 [==================>...........] - ETA: 0s - loss: 2.5373e-04 - mean_absolute_error: 0.0116101/126 [=======================>......] - ETA: 0s - loss: 2.6041e-04 - mean_absolute_error: 0.0116120/126 [===========================>..] - ETA: 0s - loss: 2.6545e-04 - mean_absolute_error: 0.0118126/126 [==============================] - 0s 3ms/step - loss: 2.6959e-04 - mean_absolute_error: 0.0119 - val_loss: 1.1816e-04 - val_mean_absolute_error: 0.0085
Epoch 29/100
  1/126 [..............................] - ETA: 0s - loss: 3.3495e-04 - mean_absolute_error: 0.0126 22/126 [====>.........................] - ETA: 0s - loss: 2.7831e-04 - mean_absolute_error: 0.0123 43/126 [=========>....................] - ETA: 0s - loss: 2.5691e-04 - mean_absolute_error: 0.0118 64/126 [==============>...............] - ETA: 0s - loss: 2.5044e-04 - mean_absolute_error: 0.0118 84/126 [===================>..........] - ETA: 0s - loss: 2.4600e-04 - mean_absolute_error: 0.0116103/126 [=======================>......] - ETA: 0s - loss: 2.5262e-04 - mean_absolute_error: 0.0116123/126 [============================>.] - ETA: 0s - loss: 2.5799e-04 - mean_absolute_error: 0.0116126/126 [==============================] - 0s 3ms/step - loss: 2.5672e-04 - mean_absolute_error: 0.0116 - val_loss: 1.1782e-04 - val_mean_absolute_error: 0.0085
Epoch 30/100
  1/126 [..............................] - ETA: 0s - loss: 1.5873e-04 - mean_absolute_error: 0.0104 21/126 [====>.........................] - ETA: 0s - loss: 2.4395e-04 - mean_absolute_error: 0.0116 41/126 [========>.....................] - ETA: 0s - loss: 2.6909e-04 - mean_absolute_error: 0.0123 61/126 [=============>................] - ETA: 0s - loss: 2.4893e-04 - mean_absolute_error: 0.0118 81/126 [==================>...........] - ETA: 0s - loss: 2.6675e-04 - mean_absolute_error: 0.0121100/126 [======================>.......] - ETA: 0s - loss: 2.7738e-04 - mean_absolute_error: 0.0122120/126 [===========================>..] - ETA: 0s - loss: 2.7168e-04 - mean_absolute_error: 0.0120126/126 [==============================] - 0s 3ms/step - loss: 2.6859e-04 - mean_absolute_error: 0.0119 - val_loss: 1.2384e-04 - val_mean_absolute_error: 0.0086
Epoch 31/100
  1/126 [..............................] - ETA: 0s - loss: 1.1454e-04 - mean_absolute_error: 0.0092 22/126 [====>.........................] - ETA: 0s - loss: 1.9314e-04 - mean_absolute_error: 0.0107 42/126 [=========>....................] - ETA: 0s - loss: 2.2557e-04 - mean_absolute_error: 0.0109 62/126 [=============>................] - ETA: 0s - loss: 2.3906e-04 - mean_absolute_error: 0.0112 82/126 [==================>...........] - ETA: 0s - loss: 2.3216e-04 - mean_absolute_error: 0.0111102/126 [=======================>......] - ETA: 0s - loss: 2.3576e-04 - mean_absolute_error: 0.0112121/126 [===========================>..] - ETA: 0s - loss: 2.5098e-04 - mean_absolute_error: 0.0114126/126 [==============================] - 0s 3ms/step - loss: 2.4820e-04 - mean_absolute_error: 0.0114 - val_loss: 1.5833e-04 - val_mean_absolute_error: 0.0098
Epoch 32/100
  1/126 [..............................] - ETA: 0s - loss: 1.6513e-04 - mean_absolute_error: 0.0103 21/126 [====>.........................] - ETA: 0s - loss: 2.4872e-04 - mean_absolute_error: 0.0111 41/126 [========>.....................] - ETA: 0s - loss: 2.6415e-04 - mean_absolute_error: 0.0114 62/126 [=============>................] - ETA: 0s - loss: 2.5705e-04 - mean_absolute_error: 0.0114 82/126 [==================>...........] - ETA: 0s - loss: 2.5397e-04 - mean_absolute_error: 0.0114102/126 [=======================>......] - ETA: 0s - loss: 2.5357e-04 - mean_absolute_error: 0.0115122/126 [============================>.] - ETA: 0s - loss: 2.5375e-04 - mean_absolute_error: 0.0114126/126 [==============================] - 0s 3ms/step - loss: 2.5144e-04 - mean_absolute_error: 0.0114 - val_loss: 1.4254e-04 - val_mean_absolute_error: 0.0093
Epoch 33/100
  1/126 [..............................] - ETA: 0s - loss: 7.3674e-05 - mean_absolute_error: 0.0069 21/126 [====>.........................] - ETA: 0s - loss: 2.9123e-04 - mean_absolute_error: 0.0127 42/126 [=========>....................] - ETA: 0s - loss: 2.9636e-04 - mean_absolute_error: 0.0128 62/126 [=============>................] - ETA: 0s - loss: 2.8022e-04 - mean_absolute_error: 0.0125 82/126 [==================>...........] - ETA: 0s - loss: 2.8712e-04 - mean_absolute_error: 0.0126102/126 [=======================>......] - ETA: 0s - loss: 2.8519e-04 - mean_absolute_error: 0.0125122/126 [============================>.] - ETA: 0s - loss: 2.8573e-04 - mean_absolute_error: 0.0124126/126 [==============================] - 0s 3ms/step - loss: 2.8342e-04 - mean_absolute_error: 0.0123 - val_loss: 1.2506e-04 - val_mean_absolute_error: 0.0089
Epoch 34/100
  1/126 [..............................] - ETA: 0s - loss: 2.1321e-04 - mean_absolute_error: 0.0118 22/126 [====>.........................] - ETA: 0s - loss: 2.2814e-04 - mean_absolute_error: 0.0114 42/126 [=========>....................] - ETA: 0s - loss: 2.2528e-04 - mean_absolute_error: 0.0109 62/126 [=============>................] - ETA: 0s - loss: 2.6366e-04 - mean_absolute_error: 0.0116 82/126 [==================>...........] - ETA: 0s - loss: 2.6070e-04 - mean_absolute_error: 0.0115102/126 [=======================>......] - ETA: 0s - loss: 2.5782e-04 - mean_absolute_error: 0.0115122/126 [============================>.] - ETA: 0s - loss: 2.5649e-04 - mean_absolute_error: 0.0115126/126 [==============================] - 0s 3ms/step - loss: 2.5442e-04 - mean_absolute_error: 0.0115 - val_loss: 2.0178e-04 - val_mean_absolute_error: 0.0117
Epoch 35/100
  1/126 [..............................] - ETA: 0s - loss: 3.4368e-04 - mean_absolute_error: 0.0144 22/126 [====>.........................] - ETA: 0s - loss: 3.1964e-04 - mean_absolute_error: 0.0130 43/126 [=========>....................] - ETA: 0s - loss: 3.3117e-04 - mean_absolute_error: 0.0133 64/126 [==============>...............] - ETA: 0s - loss: 3.0252e-04 - mean_absolute_error: 0.0129 84/126 [===================>..........] - ETA: 0s - loss: 3.0174e-04 - mean_absolute_error: 0.0126104/126 [=======================>......] - ETA: 0s - loss: 2.8899e-04 - mean_absolute_error: 0.0125124/126 [============================>.] - ETA: 0s - loss: 2.8295e-04 - mean_absolute_error: 0.0123126/126 [==============================] - 0s 3ms/step - loss: 2.8164e-04 - mean_absolute_error: 0.0123 - val_loss: 1.1669e-04 - val_mean_absolute_error: 0.0084
Epoch 36/100
  1/126 [..............................] - ETA: 0s - loss: 1.8489e-04 - mean_absolute_error: 0.0092 21/126 [====>.........................] - ETA: 0s - loss: 2.7814e-04 - mean_absolute_error: 0.0117 41/126 [========>.....................] - ETA: 0s - loss: 2.3853e-04 - mean_absolute_error: 0.0112 61/126 [=============>................] - ETA: 0s - loss: 2.3818e-04 - mean_absolute_error: 0.0110 80/126 [==================>...........] - ETA: 0s - loss: 2.3154e-04 - mean_absolute_error: 0.0109100/126 [======================>.......] - ETA: 0s - loss: 2.3676e-04 - mean_absolute_error: 0.0111120/126 [===========================>..] - ETA: 0s - loss: 2.4452e-04 - mean_absolute_error: 0.0113126/126 [==============================] - 0s 3ms/step - loss: 2.4205e-04 - mean_absolute_error: 0.0112 - val_loss: 1.1718e-04 - val_mean_absolute_error: 0.0085
Epoch 37/100
  1/126 [..............................] - ETA: 0s - loss: 2.4394e-04 - mean_absolute_error: 0.0108 21/126 [====>.........................] - ETA: 0s - loss: 2.1818e-04 - mean_absolute_error: 0.0114 42/126 [=========>....................] - ETA: 0s - loss: 2.5226e-04 - mean_absolute_error: 0.0118 62/126 [=============>................] - ETA: 0s - loss: 2.7585e-04 - mean_absolute_error: 0.0122 83/126 [==================>...........] - ETA: 0s - loss: 2.6779e-04 - mean_absolute_error: 0.0120103/126 [=======================>......] - ETA: 0s - loss: 2.6021e-04 - mean_absolute_error: 0.0118123/126 [============================>.] - ETA: 0s - loss: 2.6467e-04 - mean_absolute_error: 0.0118126/126 [==============================] - 0s 3ms/step - loss: 2.6262e-04 - mean_absolute_error: 0.0118 - val_loss: 1.2046e-04 - val_mean_absolute_error: 0.0085
Epoch 38/100
  1/126 [..............................] - ETA: 0s - loss: 1.3437e-04 - mean_absolute_error: 0.0086 15/126 [==>...........................] - ETA: 0s - loss: 1.9155e-04 - mean_absolute_error: 0.0103 30/126 [======>.......................] - ETA: 0s - loss: 2.6257e-04 - mean_absolute_error: 0.0114 43/126 [=========>....................] - ETA: 0s - loss: 2.5239e-04 - mean_absolute_error: 0.0114 56/126 [============>.................] - ETA: 0s - loss: 2.5862e-04 - mean_absolute_error: 0.0115 70/126 [===============>..............] - ETA: 0s - loss: 2.5198e-04 - mean_absolute_error: 0.0115 87/126 [===================>..........] - ETA: 0s - loss: 2.6604e-04 - mean_absolute_error: 0.0120105/126 [========================>.....] - ETA: 0s - loss: 2.8412e-04 - mean_absolute_error: 0.0124122/126 [============================>.] - ETA: 0s - loss: 2.8283e-04 - mean_absolute_error: 0.0125126/126 [==============================] - 0s 4ms/step - loss: 2.8342e-04 - mean_absolute_error: 0.0125 - val_loss: 2.2266e-04 - val_mean_absolute_error: 0.0121
Epoch 39/100
  1/126 [..............................] - ETA: 0s - loss: 1.6699e-04 - mean_absolute_error: 0.0105 20/126 [===>..........................] - ETA: 0s - loss: 2.4318e-04 - mean_absolute_error: 0.0115 39/126 [========>.....................] - ETA: 0s - loss: 2.6825e-04 - mean_absolute_error: 0.0121 57/126 [============>.................] - ETA: 0s - loss: 2.7988e-04 - mean_absolute_error: 0.0123 71/126 [===============>..............] - ETA: 0s - loss: 2.7313e-04 - mean_absolute_error: 0.0123 84/126 [===================>..........] - ETA: 0s - loss: 2.6255e-04 - mean_absolute_error: 0.0121 98/126 [======================>.......] - ETA: 0s - loss: 2.8476e-04 - mean_absolute_error: 0.0123113/126 [=========================>....] - ETA: 0s - loss: 2.9975e-04 - mean_absolute_error: 0.0127126/126 [==============================] - 0s 4ms/step - loss: 3.0523e-04 - mean_absolute_error: 0.0129 - val_loss: 1.5744e-04 - val_mean_absolute_error: 0.0102
Epoch 40/100
  1/126 [..............................] - ETA: 0s - loss: 4.2373e-04 - mean_absolute_error: 0.0154 17/126 [===>..........................] - ETA: 0s - loss: 3.5179e-04 - mean_absolute_error: 0.0144 33/126 [======>.......................] - ETA: 0s - loss: 3.0589e-04 - mean_absolute_error: 0.0135 50/126 [==========>...................] - ETA: 0s - loss: 3.1530e-04 - mean_absolute_error: 0.0133 66/126 [==============>...............] - ETA: 0s - loss: 2.9106e-04 - mean_absolute_error: 0.0128 82/126 [==================>...........] - ETA: 0s - loss: 2.7539e-04 - mean_absolute_error: 0.0124 96/126 [=====================>........] - ETA: 0s - loss: 2.6497e-04 - mean_absolute_error: 0.0121112/126 [=========================>....] - ETA: 0s - loss: 2.7473e-04 - mean_absolute_error: 0.0124126/126 [==============================] - 0s 4ms/step - loss: 2.7674e-04 - mean_absolute_error: 0.0123 - val_loss: 1.2092e-04 - val_mean_absolute_error: 0.0088
Epoch 41/100
  1/126 [..............................] - ETA: 0s - loss: 1.2940e-04 - mean_absolute_error: 0.0089 18/126 [===>..........................] - ETA: 0s - loss: 2.1777e-04 - mean_absolute_error: 0.0101 35/126 [=======>......................] - ETA: 0s - loss: 2.1683e-04 - mean_absolute_error: 0.0102 52/126 [===========>..................] - ETA: 0s - loss: 2.1216e-04 - mean_absolute_error: 0.0103 69/126 [===============>..............] - ETA: 0s - loss: 2.1018e-04 - mean_absolute_error: 0.0105 87/126 [===================>..........] - ETA: 0s - loss: 2.2999e-04 - mean_absolute_error: 0.0110105/126 [========================>.....] - ETA: 0s - loss: 2.4282e-04 - mean_absolute_error: 0.0113123/126 [============================>.] - ETA: 0s - loss: 2.5428e-04 - mean_absolute_error: 0.0116126/126 [==============================] - 0s 3ms/step - loss: 2.5870e-04 - mean_absolute_error: 0.0116 - val_loss: 1.6077e-04 - val_mean_absolute_error: 0.0100
Epoch 42/100
  1/126 [..............................] - ETA: 0s - loss: 1.6538e-04 - mean_absolute_error: 0.0093 18/126 [===>..........................] - ETA: 0s - loss: 2.7452e-04 - mean_absolute_error: 0.0126 36/126 [=======>......................] - ETA: 0s - loss: 2.7587e-04 - mean_absolute_error: 0.0122 54/126 [===========>..................] - ETA: 0s - loss: 2.7137e-04 - mean_absolute_error: 0.0121 71/126 [===============>..............] - ETA: 0s - loss: 2.6080e-04 - mean_absolute_error: 0.0118 87/126 [===================>..........] - ETA: 0s - loss: 2.5188e-04 - mean_absolute_error: 0.0116104/126 [=======================>......] - ETA: 0s - loss: 2.5121e-04 - mean_absolute_error: 0.0115121/126 [===========================>..] - ETA: 0s - loss: 2.5243e-04 - mean_absolute_error: 0.0114126/126 [==============================] - 0s 3ms/step - loss: 2.4930e-04 - mean_absolute_error: 0.0114 - val_loss: 3.4108e-04 - val_mean_absolute_error: 0.0158
Epoch 43/100
  1/126 [..............................] - ETA: 0s - loss: 4.1653e-04 - mean_absolute_error: 0.0160 19/126 [===>..........................] - ETA: 0s - loss: 2.6584e-04 - mean_absolute_error: 0.0124 37/126 [=======>......................] - ETA: 0s - loss: 2.8131e-04 - mean_absolute_error: 0.0127 54/126 [===========>..................] - ETA: 0s - loss: 2.7457e-04 - mean_absolute_error: 0.0125 70/126 [===============>..............] - ETA: 0s - loss: 2.7301e-04 - mean_absolute_error: 0.0123 86/126 [===================>..........] - ETA: 0s - loss: 2.7259e-04 - mean_absolute_error: 0.0122101/126 [=======================>......] - ETA: 0s - loss: 3.0399e-04 - mean_absolute_error: 0.0129117/126 [==========================>...] - ETA: 0s - loss: 3.0381e-04 - mean_absolute_error: 0.0130126/126 [==============================] - 0s 3ms/step - loss: 3.0092e-04 - mean_absolute_error: 0.0129 - val_loss: 1.1732e-04 - val_mean_absolute_error: 0.0086
Epoch 44/100
  1/126 [..............................] - ETA: 0s - loss: 2.1535e-04 - mean_absolute_error: 0.0101 18/126 [===>..........................] - ETA: 0s - loss: 2.4903e-04 - mean_absolute_error: 0.0113 37/126 [=======>......................] - ETA: 0s - loss: 2.2659e-04 - mean_absolute_error: 0.0110 56/126 [============>.................] - ETA: 0s - loss: 2.3821e-04 - mean_absolute_error: 0.0115 75/126 [================>.............] - ETA: 0s - loss: 2.4586e-04 - mean_absolute_error: 0.0117 95/126 [=====================>........] - ETA: 0s - loss: 2.5634e-04 - mean_absolute_error: 0.0118115/126 [==========================>...] - ETA: 0s - loss: 2.5585e-04 - mean_absolute_error: 0.0117126/126 [==============================] - 0s 3ms/step - loss: 2.5121e-04 - mean_absolute_error: 0.0116 - val_loss: 1.6603e-04 - val_mean_absolute_error: 0.0102
Epoch 45/100
  1/126 [..............................] - ETA: 0s - loss: 6.4985e-04 - mean_absolute_error: 0.0169 22/126 [====>.........................] - ETA: 0s - loss: 2.7849e-04 - mean_absolute_error: 0.0119 42/126 [=========>....................] - ETA: 0s - loss: 2.7111e-04 - mean_absolute_error: 0.0121 62/126 [=============>................] - ETA: 0s - loss: 2.7753e-04 - mean_absolute_error: 0.0125 81/126 [==================>...........] - ETA: 0s - loss: 2.8840e-04 - mean_absolute_error: 0.0127101/126 [=======================>......] - ETA: 0s - loss: 2.9124e-04 - mean_absolute_error: 0.0125121/126 [===========================>..] - ETA: 0s - loss: 2.7616e-04 - mean_absolute_error: 0.0122126/126 [==============================] - 0s 3ms/step - loss: 2.7313e-04 - mean_absolute_error: 0.0121 - val_loss: 2.5681e-04 - val_mean_absolute_error: 0.0135
Epoch 46/100
  1/126 [..............................] - ETA: 0s - loss: 2.9135e-04 - mean_absolute_error: 0.0143 21/126 [====>.........................] - ETA: 0s - loss: 2.3222e-04 - mean_absolute_error: 0.0119 41/126 [========>.....................] - ETA: 0s - loss: 2.5038e-04 - mean_absolute_error: 0.0122 61/126 [=============>................] - ETA: 0s - loss: 2.8078e-04 - mean_absolute_error: 0.0129 81/126 [==================>...........] - ETA: 0s - loss: 2.8056e-04 - mean_absolute_error: 0.0127100/126 [======================>.......] - ETA: 0s - loss: 2.8061e-04 - mean_absolute_error: 0.0126120/126 [===========================>..] - ETA: 0s - loss: 2.8083e-04 - mean_absolute_error: 0.0125126/126 [==============================] - 0s 3ms/step - loss: 2.8511e-04 - mean_absolute_error: 0.0125 - val_loss: 1.3471e-04 - val_mean_absolute_error: 0.0091
Epoch 47/100
  1/126 [..............................] - ETA: 0s - loss: 1.2976e-04 - mean_absolute_error: 0.0085 22/126 [====>.........................] - ETA: 0s - loss: 2.4620e-04 - mean_absolute_error: 0.0109 41/126 [========>.....................] - ETA: 0s - loss: 2.6055e-04 - mean_absolute_error: 0.0112 61/126 [=============>................] - ETA: 0s - loss: 2.7217e-04 - mean_absolute_error: 0.0119 80/126 [==================>...........] - ETA: 0s - loss: 2.7064e-04 - mean_absolute_error: 0.0118100/126 [======================>.......] - ETA: 0s - loss: 2.5698e-04 - mean_absolute_error: 0.0116121/126 [===========================>..] - ETA: 0s - loss: 2.5371e-04 - mean_absolute_error: 0.0116126/126 [==============================] - 0s 3ms/step - loss: 2.5361e-04 - mean_absolute_error: 0.0116 - val_loss: 1.4400e-04 - val_mean_absolute_error: 0.0094
Epoch 48/100
  1/126 [..............................] - ETA: 0s - loss: 2.3046e-04 - mean_absolute_error: 0.0131 21/126 [====>.........................] - ETA: 0s - loss: 2.1639e-04 - mean_absolute_error: 0.0109 42/126 [=========>....................] - ETA: 0s - loss: 2.2725e-04 - mean_absolute_error: 0.0112 62/126 [=============>................] - ETA: 0s - loss: 2.4740e-04 - mean_absolute_error: 0.0116 82/126 [==================>...........] - ETA: 0s - loss: 2.5509e-04 - mean_absolute_error: 0.0119101/126 [=======================>......] - ETA: 0s - loss: 2.6348e-04 - mean_absolute_error: 0.0120120/126 [===========================>..] - ETA: 0s - loss: 2.6289e-04 - mean_absolute_error: 0.0119126/126 [==============================] - 0s 3ms/step - loss: 2.6165e-04 - mean_absolute_error: 0.0118 - val_loss: 1.3823e-04 - val_mean_absolute_error: 0.0092
Epoch 49/100
  1/126 [..............................] - ETA: 0s - loss: 5.4884e-04 - mean_absolute_error: 0.0123 21/126 [====>.........................] - ETA: 0s - loss: 2.6894e-04 - mean_absolute_error: 0.0122 41/126 [========>.....................] - ETA: 0s - loss: 2.7632e-04 - mean_absolute_error: 0.0120 61/126 [=============>................] - ETA: 0s - loss: 2.5826e-04 - mean_absolute_error: 0.0116 81/126 [==================>...........] - ETA: 0s - loss: 2.4835e-04 - mean_absolute_error: 0.0115102/126 [=======================>......] - ETA: 0s - loss: 2.4850e-04 - mean_absolute_error: 0.0114122/126 [============================>.] - ETA: 0s - loss: 2.4332e-04 - mean_absolute_error: 0.0113126/126 [==============================] - 0s 3ms/step - loss: 2.4573e-04 - mean_absolute_error: 0.0114 - val_loss: 1.1153e-04 - val_mean_absolute_error: 0.0082
Epoch 50/100
  1/126 [..............................] - ETA: 0s - loss: 1.5577e-04 - mean_absolute_error: 0.0099 22/126 [====>.........................] - ETA: 0s - loss: 2.6798e-04 - mean_absolute_error: 0.0124 42/126 [=========>....................] - ETA: 0s - loss: 2.5673e-04 - mean_absolute_error: 0.0119 62/126 [=============>................] - ETA: 0s - loss: 2.4175e-04 - mean_absolute_error: 0.0114 82/126 [==================>...........] - ETA: 0s - loss: 2.4602e-04 - mean_absolute_error: 0.0114102/126 [=======================>......] - ETA: 0s - loss: 2.4116e-04 - mean_absolute_error: 0.0114123/126 [============================>.] - ETA: 0s - loss: 2.5685e-04 - mean_absolute_error: 0.0117126/126 [==============================] - 0s 3ms/step - loss: 2.6097e-04 - mean_absolute_error: 0.0118 - val_loss: 3.1105e-04 - val_mean_absolute_error: 0.0152
Epoch 51/100
  1/126 [..............................] - ETA: 0s - loss: 4.9625e-04 - mean_absolute_error: 0.0174 21/126 [====>.........................] - ETA: 0s - loss: 3.3126e-04 - mean_absolute_error: 0.0136 42/126 [=========>....................] - ETA: 0s - loss: 2.8333e-04 - mean_absolute_error: 0.0122 62/126 [=============>................] - ETA: 0s - loss: 2.6853e-04 - mean_absolute_error: 0.0118 82/126 [==================>...........] - ETA: 0s - loss: 2.5717e-04 - mean_absolute_error: 0.0116102/126 [=======================>......] - ETA: 0s - loss: 2.6440e-04 - mean_absolute_error: 0.0118122/126 [============================>.] - ETA: 0s - loss: 2.5920e-04 - mean_absolute_error: 0.0118126/126 [==============================] - 0s 3ms/step - loss: 2.5780e-04 - mean_absolute_error: 0.0117 - val_loss: 1.6268e-04 - val_mean_absolute_error: 0.0104
Epoch 52/100
  1/126 [..............................] - ETA: 0s - loss: 1.9324e-04 - mean_absolute_error: 0.0116 21/126 [====>.........................] - ETA: 0s - loss: 2.8477e-04 - mean_absolute_error: 0.0127 42/126 [=========>....................] - ETA: 0s - loss: 3.1036e-04 - mean_absolute_error: 0.0132 62/126 [=============>................] - ETA: 0s - loss: 2.9698e-04 - mean_absolute_error: 0.0129 82/126 [==================>...........] - ETA: 0s - loss: 2.8238e-04 - mean_absolute_error: 0.0124103/126 [=======================>......] - ETA: 0s - loss: 2.8227e-04 - mean_absolute_error: 0.0124123/126 [============================>.] - ETA: 0s - loss: 2.7940e-04 - mean_absolute_error: 0.0123126/126 [==============================] - 0s 3ms/step - loss: 2.7808e-04 - mean_absolute_error: 0.0123 - val_loss: 2.0296e-04 - val_mean_absolute_error: 0.0118
Epoch 53/100
  1/126 [..............................] - ETA: 0s - loss: 1.5145e-04 - mean_absolute_error: 0.0102 22/126 [====>.........................] - ETA: 0s - loss: 2.6668e-04 - mean_absolute_error: 0.0117 42/126 [=========>....................] - ETA: 0s - loss: 2.5801e-04 - mean_absolute_error: 0.0114 62/126 [=============>................] - ETA: 0s - loss: 2.5752e-04 - mean_absolute_error: 0.0115 82/126 [==================>...........] - ETA: 0s - loss: 2.5331e-04 - mean_absolute_error: 0.0114102/126 [=======================>......] - ETA: 0s - loss: 2.4315e-04 - mean_absolute_error: 0.0113123/126 [============================>.] - ETA: 0s - loss: 2.4034e-04 - mean_absolute_error: 0.0112126/126 [==============================] - 0s 3ms/step - loss: 2.3823e-04 - mean_absolute_error: 0.0112 - val_loss: 1.3501e-04 - val_mean_absolute_error: 0.0091
Epoch 54/100
  1/126 [..............................] - ETA: 0s - loss: 2.6000e-04 - mean_absolute_error: 0.0129 21/126 [====>.........................] - ETA: 0s - loss: 1.9627e-04 - mean_absolute_error: 0.0104 41/126 [========>.....................] - ETA: 0s - loss: 2.5055e-04 - mean_absolute_error: 0.0116 60/126 [=============>................] - ETA: 0s - loss: 2.3964e-04 - mean_absolute_error: 0.0114 80/126 [==================>...........] - ETA: 0s - loss: 2.4896e-04 - mean_absolute_error: 0.0115 99/126 [======================>.......] - ETA: 0s - loss: 2.5459e-04 - mean_absolute_error: 0.0116119/126 [===========================>..] - ETA: 0s - loss: 2.4923e-04 - mean_absolute_error: 0.0115126/126 [==============================] - 0s 3ms/step - loss: 2.4805e-04 - mean_absolute_error: 0.0114 - val_loss: 1.1575e-04 - val_mean_absolute_error: 0.0083
Epoch 55/100
  1/126 [..............................] - ETA: 0s - loss: 2.3349e-04 - mean_absolute_error: 0.0101 21/126 [====>.........................] - ETA: 0s - loss: 2.5794e-04 - mean_absolute_error: 0.0117 41/126 [========>.....................] - ETA: 0s - loss: 2.5406e-04 - mean_absolute_error: 0.0120 61/126 [=============>................] - ETA: 0s - loss: 2.5156e-04 - mean_absolute_error: 0.0119 81/126 [==================>...........] - ETA: 0s - loss: 2.5408e-04 - mean_absolute_error: 0.0118101/126 [=======================>......] - ETA: 0s - loss: 2.5607e-04 - mean_absolute_error: 0.0119121/126 [===========================>..] - ETA: 0s - loss: 2.5429e-04 - mean_absolute_error: 0.0118126/126 [==============================] - 0s 3ms/step - loss: 2.5380e-04 - mean_absolute_error: 0.0117 - val_loss: 1.7461e-04 - val_mean_absolute_error: 0.0105
Epoch 56/100
  1/126 [..............................] - ETA: 0s - loss: 1.4654e-04 - mean_absolute_error: 0.0098 21/126 [====>.........................] - ETA: 0s - loss: 2.6480e-04 - mean_absolute_error: 0.0118 42/126 [=========>....................] - ETA: 0s - loss: 2.5616e-04 - mean_absolute_error: 0.0114 61/126 [=============>................] - ETA: 0s - loss: 2.7423e-04 - mean_absolute_error: 0.0120 81/126 [==================>...........] - ETA: 0s - loss: 2.6495e-04 - mean_absolute_error: 0.0119101/126 [=======================>......] - ETA: 0s - loss: 2.8557e-04 - mean_absolute_error: 0.0125121/126 [===========================>..] - ETA: 0s - loss: 3.0110e-04 - mean_absolute_error: 0.0128126/126 [==============================] - 0s 3ms/step - loss: 2.9802e-04 - mean_absolute_error: 0.0127 - val_loss: 1.1390e-04 - val_mean_absolute_error: 0.0083
Epoch 57/100
  1/126 [..............................] - ETA: 0s - loss: 1.2085e-04 - mean_absolute_error: 0.0094 21/126 [====>.........................] - ETA: 0s - loss: 2.2551e-04 - mean_absolute_error: 0.0108 42/126 [=========>....................] - ETA: 0s - loss: 2.5285e-04 - mean_absolute_error: 0.0119 62/126 [=============>................] - ETA: 0s - loss: 2.3289e-04 - mean_absolute_error: 0.0113 82/126 [==================>...........] - ETA: 0s - loss: 2.3637e-04 - mean_absolute_error: 0.0112102/126 [=======================>......] - ETA: 0s - loss: 2.4464e-04 - mean_absolute_error: 0.0112121/126 [===========================>..] - ETA: 0s - loss: 2.4430e-04 - mean_absolute_error: 0.0112126/126 [==============================] - 0s 3ms/step - loss: 2.4273e-04 - mean_absolute_error: 0.0112 - val_loss: 1.0865e-04 - val_mean_absolute_error: 0.0081
Epoch 58/100
  1/126 [..............................] - ETA: 0s - loss: 1.2006e-04 - mean_absolute_error: 0.0086 22/126 [====>.........................] - ETA: 0s - loss: 3.3162e-04 - mean_absolute_error: 0.0134 42/126 [=========>....................] - ETA: 0s - loss: 2.8932e-04 - mean_absolute_error: 0.0126 62/126 [=============>................] - ETA: 0s - loss: 2.9845e-04 - mean_absolute_error: 0.0127 81/126 [==================>...........] - ETA: 0s - loss: 2.7893e-04 - mean_absolute_error: 0.0121101/126 [=======================>......] - ETA: 0s - loss: 2.6943e-04 - mean_absolute_error: 0.0119121/126 [===========================>..] - ETA: 0s - loss: 2.6145e-04 - mean_absolute_error: 0.0118126/126 [==============================] - 0s 3ms/step - loss: 2.6184e-04 - mean_absolute_error: 0.0119 - val_loss: 1.5318e-04 - val_mean_absolute_error: 0.0101
Epoch 59/100
  1/126 [..............................] - ETA: 0s - loss: 1.5303e-04 - mean_absolute_error: 0.0101 22/126 [====>.........................] - ETA: 0s - loss: 2.1867e-04 - mean_absolute_error: 0.0108 42/126 [=========>....................] - ETA: 0s - loss: 2.4359e-04 - mean_absolute_error: 0.0113 63/126 [==============>...............] - ETA: 0s - loss: 2.3964e-04 - mean_absolute_error: 0.0112 83/126 [==================>...........] - ETA: 0s - loss: 2.3318e-04 - mean_absolute_error: 0.0111103/126 [=======================>......] - ETA: 0s - loss: 2.5026e-04 - mean_absolute_error: 0.0115122/126 [============================>.] - ETA: 0s - loss: 2.4507e-04 - mean_absolute_error: 0.0115126/126 [==============================] - 0s 3ms/step - loss: 2.4400e-04 - mean_absolute_error: 0.0114 - val_loss: 1.5162e-04 - val_mean_absolute_error: 0.0097
Epoch 60/100
  1/126 [..............................] - ETA: 0s - loss: 1.2695e-04 - mean_absolute_error: 0.0096 21/126 [====>.........................] - ETA: 0s - loss: 2.0499e-04 - mean_absolute_error: 0.0104 41/126 [========>.....................] - ETA: 0s - loss: 2.1812e-04 - mean_absolute_error: 0.0106 61/126 [=============>................] - ETA: 0s - loss: 2.3616e-04 - mean_absolute_error: 0.0111 81/126 [==================>...........] - ETA: 0s - loss: 3.2781e-04 - mean_absolute_error: 0.0132102/126 [=======================>......] - ETA: 0s - loss: 3.1441e-04 - mean_absolute_error: 0.0130123/126 [============================>.] - ETA: 0s - loss: 3.0849e-04 - mean_absolute_error: 0.0129126/126 [==============================] - 0s 3ms/step - loss: 3.0798e-04 - mean_absolute_error: 0.0129 - val_loss: 1.0716e-04 - val_mean_absolute_error: 0.0081
Epoch 61/100
  1/126 [..............................] - ETA: 0s - loss: 1.3674e-04 - mean_absolute_error: 0.0100 21/126 [====>.........................] - ETA: 0s - loss: 3.3268e-04 - mean_absolute_error: 0.0133 42/126 [=========>....................] - ETA: 0s - loss: 2.8362e-04 - mean_absolute_error: 0.0124 62/126 [=============>................] - ETA: 0s - loss: 2.7993e-04 - mean_absolute_error: 0.0121 82/126 [==================>...........] - ETA: 0s - loss: 2.7280e-04 - mean_absolute_error: 0.0120101/126 [=======================>......] - ETA: 0s - loss: 2.6311e-04 - mean_absolute_error: 0.0119120/126 [===========================>..] - ETA: 0s - loss: 2.6259e-04 - mean_absolute_error: 0.0118126/126 [==============================] - 0s 3ms/step - loss: 2.6419e-04 - mean_absolute_error: 0.0119 - val_loss: 1.7026e-04 - val_mean_absolute_error: 0.0104
Epoch 62/100
  1/126 [..............................] - ETA: 0s - loss: 2.2298e-04 - mean_absolute_error: 0.0115 22/126 [====>.........................] - ETA: 0s - loss: 2.9922e-04 - mean_absolute_error: 0.0126 42/126 [=========>....................] - ETA: 0s - loss: 2.9492e-04 - mean_absolute_error: 0.0122 63/126 [==============>...............] - ETA: 0s - loss: 2.6657e-04 - mean_absolute_error: 0.0118 83/126 [==================>...........] - ETA: 0s - loss: 2.4740e-04 - mean_absolute_error: 0.0114103/126 [=======================>......] - ETA: 0s - loss: 2.3837e-04 - mean_absolute_error: 0.0112122/126 [============================>.] - ETA: 0s - loss: 2.3167e-04 - mean_absolute_error: 0.0111126/126 [==============================] - 0s 3ms/step - loss: 2.3561e-04 - mean_absolute_error: 0.0111 - val_loss: 1.4452e-04 - val_mean_absolute_error: 0.0094
Epoch 63/100
  1/126 [..............................] - ETA: 0s - loss: 9.5535e-05 - mean_absolute_error: 0.0079 21/126 [====>.........................] - ETA: 0s - loss: 2.6520e-04 - mean_absolute_error: 0.0119 42/126 [=========>....................] - ETA: 0s - loss: 2.3924e-04 - mean_absolute_error: 0.0113 62/126 [=============>................] - ETA: 0s - loss: 2.2802e-04 - mean_absolute_error: 0.0112 82/126 [==================>...........] - ETA: 0s - loss: 2.2739e-04 - mean_absolute_error: 0.0112102/126 [=======================>......] - ETA: 0s - loss: 2.3336e-04 - mean_absolute_error: 0.0111123/126 [============================>.] - ETA: 0s - loss: 2.3505e-04 - mean_absolute_error: 0.0111126/126 [==============================] - 0s 3ms/step - loss: 2.3323e-04 - mean_absolute_error: 0.0110 - val_loss: 1.6821e-04 - val_mean_absolute_error: 0.0103
Epoch 64/100
  1/126 [..............................] - ETA: 0s - loss: 1.8017e-04 - mean_absolute_error: 0.0109 21/126 [====>.........................] - ETA: 0s - loss: 2.1136e-04 - mean_absolute_error: 0.0107 41/126 [========>.....................] - ETA: 0s - loss: 2.2573e-04 - mean_absolute_error: 0.0110 61/126 [=============>................] - ETA: 0s - loss: 2.1171e-04 - mean_absolute_error: 0.0108 81/126 [==================>...........] - ETA: 0s - loss: 2.2881e-04 - mean_absolute_error: 0.0110101/126 [=======================>......] - ETA: 0s - loss: 2.2238e-04 - mean_absolute_error: 0.0109121/126 [===========================>..] - ETA: 0s - loss: 2.3404e-04 - mean_absolute_error: 0.0111126/126 [==============================] - 0s 3ms/step - loss: 2.3125e-04 - mean_absolute_error: 0.0111 - val_loss: 1.2848e-04 - val_mean_absolute_error: 0.0091
Epoch 65/100
  1/126 [..............................] - ETA: 0s - loss: 1.1091e-04 - mean_absolute_error: 0.0088 21/126 [====>.........................] - ETA: 0s - loss: 2.6177e-04 - mean_absolute_error: 0.0111 41/126 [========>.....................] - ETA: 0s - loss: 2.4832e-04 - mean_absolute_error: 0.0112 61/126 [=============>................] - ETA: 0s - loss: 2.3154e-04 - mean_absolute_error: 0.0111 79/126 [=================>............] - ETA: 0s - loss: 2.2696e-04 - mean_absolute_error: 0.0109 99/126 [======================>.......] - ETA: 0s - loss: 2.3244e-04 - mean_absolute_error: 0.0110119/126 [===========================>..] - ETA: 0s - loss: 2.3297e-04 - mean_absolute_error: 0.0110126/126 [==============================] - 0s 3ms/step - loss: 2.3120e-04 - mean_absolute_error: 0.0110 - val_loss: 1.2033e-04 - val_mean_absolute_error: 0.0085
Epoch 66/100
  1/126 [..............................] - ETA: 0s - loss: 4.8714e-04 - mean_absolute_error: 0.0139 21/126 [====>.........................] - ETA: 0s - loss: 2.3216e-04 - mean_absolute_error: 0.0117 42/126 [=========>....................] - ETA: 0s - loss: 2.6303e-04 - mean_absolute_error: 0.0121 62/126 [=============>................] - ETA: 0s - loss: 2.7456e-04 - mean_absolute_error: 0.0123 81/126 [==================>...........] - ETA: 0s - loss: 2.5952e-04 - mean_absolute_error: 0.0120101/126 [=======================>......] - ETA: 0s - loss: 2.3980e-04 - mean_absolute_error: 0.0115121/126 [===========================>..] - ETA: 0s - loss: 2.4908e-04 - mean_absolute_error: 0.0116126/126 [==============================] - 0s 3ms/step - loss: 2.4957e-04 - mean_absolute_error: 0.0116 - val_loss: 1.4881e-04 - val_mean_absolute_error: 0.0099
Epoch 67/100
  1/126 [..............................] - ETA: 0s - loss: 9.3106e-05 - mean_absolute_error: 0.0076 21/126 [====>.........................] - ETA: 0s - loss: 2.1647e-04 - mean_absolute_error: 0.0102 41/126 [========>.....................] - ETA: 0s - loss: 2.2492e-04 - mean_absolute_error: 0.0105 61/126 [=============>................] - ETA: 0s - loss: 2.2352e-04 - mean_absolute_error: 0.0108 81/126 [==================>...........] - ETA: 0s - loss: 2.2526e-04 - mean_absolute_error: 0.0110101/126 [=======================>......] - ETA: 0s - loss: 2.5839e-04 - mean_absolute_error: 0.0119122/126 [============================>.] - ETA: 0s - loss: 2.4841e-04 - mean_absolute_error: 0.0115126/126 [==============================] - 0s 3ms/step - loss: 2.4749e-04 - mean_absolute_error: 0.0115 - val_loss: 1.0468e-04 - val_mean_absolute_error: 0.0080
Epoch 68/100
  1/126 [..............................] - ETA: 0s - loss: 1.7305e-04 - mean_absolute_error: 0.0103 22/126 [====>.........................] - ETA: 0s - loss: 2.1011e-04 - mean_absolute_error: 0.0105 42/126 [=========>....................] - ETA: 0s - loss: 2.5157e-04 - mean_absolute_error: 0.0116 61/126 [=============>................] - ETA: 0s - loss: 2.6185e-04 - mean_absolute_error: 0.0119 81/126 [==================>...........] - ETA: 0s - loss: 2.5703e-04 - mean_absolute_error: 0.0117101/126 [=======================>......] - ETA: 0s - loss: 2.5045e-04 - mean_absolute_error: 0.0116121/126 [===========================>..] - ETA: 0s - loss: 2.4030e-04 - mean_absolute_error: 0.0114126/126 [==============================] - 0s 3ms/step - loss: 2.4057e-04 - mean_absolute_error: 0.0113 - val_loss: 2.2185e-04 - val_mean_absolute_error: 0.0122
Epoch 69/100
  1/126 [..............................] - ETA: 0s - loss: 4.2155e-04 - mean_absolute_error: 0.0153 21/126 [====>.........................] - ETA: 0s - loss: 2.2510e-04 - mean_absolute_error: 0.0106 41/126 [========>.....................] - ETA: 0s - loss: 2.2933e-04 - mean_absolute_error: 0.0108 59/126 [=============>................] - ETA: 0s - loss: 2.2420e-04 - mean_absolute_error: 0.0109 76/126 [=================>............] - ETA: 0s - loss: 2.2367e-04 - mean_absolute_error: 0.0109 96/126 [=====================>........] - ETA: 0s - loss: 2.1684e-04 - mean_absolute_error: 0.0107116/126 [==========================>...] - ETA: 0s - loss: 2.3448e-04 - mean_absolute_error: 0.0111126/126 [==============================] - 0s 3ms/step - loss: 2.3388e-04 - mean_absolute_error: 0.0111 - val_loss: 1.0768e-04 - val_mean_absolute_error: 0.0080
Epoch 70/100
  1/126 [..............................] - ETA: 0s - loss: 5.5516e-04 - mean_absolute_error: 0.0100 21/126 [====>.........................] - ETA: 0s - loss: 2.1012e-04 - mean_absolute_error: 0.0103 42/126 [=========>....................] - ETA: 0s - loss: 2.0566e-04 - mean_absolute_error: 0.0104 62/126 [=============>................] - ETA: 0s - loss: 2.4163e-04 - mean_absolute_error: 0.0113 81/126 [==================>...........] - ETA: 0s - loss: 2.7493e-04 - mean_absolute_error: 0.0122101/126 [=======================>......] - ETA: 0s - loss: 2.9072e-04 - mean_absolute_error: 0.0127121/126 [===========================>..] - ETA: 0s - loss: 2.8331e-04 - mean_absolute_error: 0.0125126/126 [==============================] - 0s 3ms/step - loss: 2.7861e-04 - mean_absolute_error: 0.0124 - val_loss: 1.0554e-04 - val_mean_absolute_error: 0.0080
Epoch 71/100
  1/126 [..............................] - ETA: 0s - loss: 2.7237e-04 - mean_absolute_error: 0.0104 21/126 [====>.........................] - ETA: 0s - loss: 1.9115e-04 - mean_absolute_error: 0.0103 41/126 [========>.....................] - ETA: 0s - loss: 1.9520e-04 - mean_absolute_error: 0.0106 61/126 [=============>................] - ETA: 0s - loss: 1.9445e-04 - mean_absolute_error: 0.0105 80/126 [==================>...........] - ETA: 0s - loss: 2.1989e-04 - mean_absolute_error: 0.0109100/126 [======================>.......] - ETA: 0s - loss: 2.1716e-04 - mean_absolute_error: 0.0107120/126 [===========================>..] - ETA: 0s - loss: 2.2979e-04 - mean_absolute_error: 0.0110126/126 [==============================] - 0s 3ms/step - loss: 2.3007e-04 - mean_absolute_error: 0.0110 - val_loss: 1.0716e-04 - val_mean_absolute_error: 0.0082
Epoch 72/100
  1/126 [..............................] - ETA: 0s - loss: 3.2914e-04 - mean_absolute_error: 0.0117 21/126 [====>.........................] - ETA: 0s - loss: 2.4934e-04 - mean_absolute_error: 0.0107 41/126 [========>.....................] - ETA: 0s - loss: 2.6242e-04 - mean_absolute_error: 0.0117 62/126 [=============>................] - ETA: 0s - loss: 2.4290e-04 - mean_absolute_error: 0.0112 81/126 [==================>...........] - ETA: 0s - loss: 2.3378e-04 - mean_absolute_error: 0.0112101/126 [=======================>......] - ETA: 0s - loss: 2.3259e-04 - mean_absolute_error: 0.0111121/126 [===========================>..] - ETA: 0s - loss: 2.3089e-04 - mean_absolute_error: 0.0111126/126 [==============================] - 0s 3ms/step - loss: 2.3283e-04 - mean_absolute_error: 0.0111 - val_loss: 1.6918e-04 - val_mean_absolute_error: 0.0107
Epoch 73/100
  1/126 [..............................] - ETA: 0s - loss: 5.7740e-04 - mean_absolute_error: 0.0172 21/126 [====>.........................] - ETA: 0s - loss: 2.9054e-04 - mean_absolute_error: 0.0120 41/126 [========>.....................] - ETA: 0s - loss: 2.4965e-04 - mean_absolute_error: 0.0111 61/126 [=============>................] - ETA: 0s - loss: 2.2926e-04 - mean_absolute_error: 0.0109 81/126 [==================>...........] - ETA: 0s - loss: 2.2055e-04 - mean_absolute_error: 0.0107101/126 [=======================>......] - ETA: 0s - loss: 2.1846e-04 - mean_absolute_error: 0.0107121/126 [===========================>..] - ETA: 0s - loss: 2.1931e-04 - mean_absolute_error: 0.0107126/126 [==============================] - 0s 3ms/step - loss: 2.1805e-04 - mean_absolute_error: 0.0107 - val_loss: 1.0464e-04 - val_mean_absolute_error: 0.0079
Epoch 74/100
  1/126 [..............................] - ETA: 0s - loss: 3.0835e-04 - mean_absolute_error: 0.0116 21/126 [====>.........................] - ETA: 0s - loss: 2.4331e-04 - mean_absolute_error: 0.0116 41/126 [========>.....................] - ETA: 0s - loss: 2.2899e-04 - mean_absolute_error: 0.0112 61/126 [=============>................] - ETA: 0s - loss: 2.3141e-04 - mean_absolute_error: 0.0113 81/126 [==================>...........] - ETA: 0s - loss: 2.3976e-04 - mean_absolute_error: 0.0114101/126 [=======================>......] - ETA: 0s - loss: 2.3961e-04 - mean_absolute_error: 0.0115121/126 [===========================>..] - ETA: 0s - loss: 2.5061e-04 - mean_absolute_error: 0.0118126/126 [==============================] - 0s 3ms/step - loss: 2.5051e-04 - mean_absolute_error: 0.0118 - val_loss: 1.3710e-04 - val_mean_absolute_error: 0.0095
Epoch 75/100
  1/126 [..............................] - ETA: 0s - loss: 2.0395e-04 - mean_absolute_error: 0.0107 22/126 [====>.........................] - ETA: 0s - loss: 2.2265e-04 - mean_absolute_error: 0.0106 42/126 [=========>....................] - ETA: 0s - loss: 2.5909e-04 - mean_absolute_error: 0.0113 62/126 [=============>................] - ETA: 0s - loss: 2.4702e-04 - mean_absolute_error: 0.0112 82/126 [==================>...........] - ETA: 0s - loss: 2.4789e-04 - mean_absolute_error: 0.0113102/126 [=======================>......] - ETA: 0s - loss: 2.4621e-04 - mean_absolute_error: 0.0114121/126 [===========================>..] - ETA: 0s - loss: 2.4248e-04 - mean_absolute_error: 0.0114126/126 [==============================] - 0s 3ms/step - loss: 2.4238e-04 - mean_absolute_error: 0.0114 - val_loss: 1.7289e-04 - val_mean_absolute_error: 0.0108
Epoch 76/100
  1/126 [..............................] - ETA: 0s - loss: 2.1519e-04 - mean_absolute_error: 0.0118 20/126 [===>..........................] - ETA: 0s - loss: 2.5173e-04 - mean_absolute_error: 0.0120 40/126 [========>.....................] - ETA: 0s - loss: 2.4268e-04 - mean_absolute_error: 0.0112 60/126 [=============>................] - ETA: 0s - loss: 2.2313e-04 - mean_absolute_error: 0.0108 80/126 [==================>...........] - ETA: 0s - loss: 2.2315e-04 - mean_absolute_error: 0.0108100/126 [======================>.......] - ETA: 0s - loss: 2.2853e-04 - mean_absolute_error: 0.0109120/126 [===========================>..] - ETA: 0s - loss: 2.2555e-04 - mean_absolute_error: 0.0109126/126 [==============================] - 0s 3ms/step - loss: 2.2153e-04 - mean_absolute_error: 0.0108 - val_loss: 9.9683e-05 - val_mean_absolute_error: 0.0078
Epoch 77/100
  1/126 [..............................] - ETA: 0s - loss: 7.3775e-05 - mean_absolute_error: 0.0062 21/126 [====>.........................] - ETA: 0s - loss: 1.6017e-04 - mean_absolute_error: 0.0095 41/126 [========>.....................] - ETA: 0s - loss: 1.9629e-04 - mean_absolute_error: 0.0102 61/126 [=============>................] - ETA: 0s - loss: 2.1983e-04 - mean_absolute_error: 0.0110 80/126 [==================>...........] - ETA: 0s - loss: 2.4478e-04 - mean_absolute_error: 0.0117100/126 [======================>.......] - ETA: 0s - loss: 2.5443e-04 - mean_absolute_error: 0.0119120/126 [===========================>..] - ETA: 0s - loss: 2.6175e-04 - mean_absolute_error: 0.0120126/126 [==============================] - 0s 3ms/step - loss: 2.5869e-04 - mean_absolute_error: 0.0119 - val_loss: 1.0477e-04 - val_mean_absolute_error: 0.0081
Epoch 78/100
  1/126 [..............................] - ETA: 0s - loss: 1.4365e-04 - mean_absolute_error: 0.0083 21/126 [====>.........................] - ETA: 0s - loss: 2.1663e-04 - mean_absolute_error: 0.0108 41/126 [========>.....................] - ETA: 0s - loss: 2.1970e-04 - mean_absolute_error: 0.0109 61/126 [=============>................] - ETA: 0s - loss: 2.2170e-04 - mean_absolute_error: 0.0109 81/126 [==================>...........] - ETA: 0s - loss: 2.3360e-04 - mean_absolute_error: 0.0112101/126 [=======================>......] - ETA: 0s - loss: 2.3273e-04 - mean_absolute_error: 0.0112120/126 [===========================>..] - ETA: 0s - loss: 2.5019e-04 - mean_absolute_error: 0.0116126/126 [==============================] - 0s 3ms/step - loss: 2.4817e-04 - mean_absolute_error: 0.0116 - val_loss: 1.2130e-04 - val_mean_absolute_error: 0.0086
Epoch 79/100
  1/126 [..............................] - ETA: 0s - loss: 1.4869e-04 - mean_absolute_error: 0.0100 21/126 [====>.........................] - ETA: 0s - loss: 2.3562e-04 - mean_absolute_error: 0.0108 41/126 [========>.....................] - ETA: 0s - loss: 2.2687e-04 - mean_absolute_error: 0.0107 60/126 [=============>................] - ETA: 0s - loss: 2.3746e-04 - mean_absolute_error: 0.0108 79/126 [=================>............] - ETA: 0s - loss: 2.2273e-04 - mean_absolute_error: 0.0106 98/126 [======================>.......] - ETA: 0s - loss: 2.1845e-04 - mean_absolute_error: 0.0106118/126 [===========================>..] - ETA: 0s - loss: 2.1121e-04 - mean_absolute_error: 0.0105126/126 [==============================] - 0s 3ms/step - loss: 2.1143e-04 - mean_absolute_error: 0.0105 - val_loss: 1.2692e-04 - val_mean_absolute_error: 0.0088
Epoch 80/100
  1/126 [..............................] - ETA: 0s - loss: 1.2746e-04 - mean_absolute_error: 0.0089 22/126 [====>.........................] - ETA: 0s - loss: 2.1857e-04 - mean_absolute_error: 0.0113 42/126 [=========>....................] - ETA: 0s - loss: 2.3262e-04 - mean_absolute_error: 0.0112 63/126 [==============>...............] - ETA: 0s - loss: 2.2969e-04 - mean_absolute_error: 0.0109 84/126 [===================>..........] - ETA: 0s - loss: 2.2090e-04 - mean_absolute_error: 0.0107104/126 [=======================>......] - ETA: 0s - loss: 2.2104e-04 - mean_absolute_error: 0.0107124/126 [============================>.] - ETA: 0s - loss: 2.1199e-04 - mean_absolute_error: 0.0105126/126 [==============================] - 0s 3ms/step - loss: 2.1085e-04 - mean_absolute_error: 0.0105 - val_loss: 1.1631e-04 - val_mean_absolute_error: 0.0084
Epoch 81/100
  1/126 [..............................] - ETA: 0s - loss: 1.0201e-04 - mean_absolute_error: 0.0078 22/126 [====>.........................] - ETA: 0s - loss: 2.1974e-04 - mean_absolute_error: 0.0105 42/126 [=========>....................] - ETA: 0s - loss: 2.1261e-04 - mean_absolute_error: 0.0106 62/126 [=============>................] - ETA: 0s - loss: 2.2434e-04 - mean_absolute_error: 0.0107 81/126 [==================>...........] - ETA: 0s - loss: 2.3214e-04 - mean_absolute_error: 0.0111101/126 [=======================>......] - ETA: 0s - loss: 2.3527e-04 - mean_absolute_error: 0.0111120/126 [===========================>..] - ETA: 0s - loss: 2.3405e-04 - mean_absolute_error: 0.0112126/126 [==============================] - 0s 3ms/step - loss: 2.3326e-04 - mean_absolute_error: 0.0111 - val_loss: 1.0663e-04 - val_mean_absolute_error: 0.0080
Epoch 82/100
  1/126 [..............................] - ETA: 0s - loss: 1.7317e-04 - mean_absolute_error: 0.0100 20/126 [===>..........................] - ETA: 0s - loss: 3.1996e-04 - mean_absolute_error: 0.0136 39/126 [========>.....................] - ETA: 0s - loss: 2.5800e-04 - mean_absolute_error: 0.0122 59/126 [=============>................] - ETA: 0s - loss: 2.4659e-04 - mean_absolute_error: 0.0117 79/126 [=================>............] - ETA: 0s - loss: 2.4350e-04 - mean_absolute_error: 0.0115 98/126 [======================>.......] - ETA: 0s - loss: 2.4348e-04 - mean_absolute_error: 0.0116118/126 [===========================>..] - ETA: 0s - loss: 2.4542e-04 - mean_absolute_error: 0.0115126/126 [==============================] - 0s 3ms/step - loss: 2.4328e-04 - mean_absolute_error: 0.0114 - val_loss: 1.2294e-04 - val_mean_absolute_error: 0.0089
Epoch 83/100
  1/126 [..............................] - ETA: 0s - loss: 2.2765e-04 - mean_absolute_error: 0.0121 22/126 [====>.........................] - ETA: 0s - loss: 1.6748e-04 - mean_absolute_error: 0.0096 41/126 [========>.....................] - ETA: 0s - loss: 1.8407e-04 - mean_absolute_error: 0.0097 61/126 [=============>................] - ETA: 0s - loss: 1.9260e-04 - mean_absolute_error: 0.0099 81/126 [==================>...........] - ETA: 0s - loss: 2.0849e-04 - mean_absolute_error: 0.0105100/126 [======================>.......] - ETA: 0s - loss: 2.0622e-04 - mean_absolute_error: 0.0104120/126 [===========================>..] - ETA: 0s - loss: 2.0847e-04 - mean_absolute_error: 0.0104126/126 [==============================] - 0s 3ms/step - loss: 2.0710e-04 - mean_absolute_error: 0.0104 - val_loss: 1.7725e-04 - val_mean_absolute_error: 0.0108
Epoch 84/100
  1/126 [..............................] - ETA: 0s - loss: 3.1599e-04 - mean_absolute_error: 0.0136 22/126 [====>.........................] - ETA: 0s - loss: 2.7983e-04 - mean_absolute_error: 0.0124 39/126 [========>.....................] - ETA: 0s - loss: 2.6625e-04 - mean_absolute_error: 0.0122 56/126 [============>.................] - ETA: 0s - loss: 2.4936e-04 - mean_absolute_error: 0.0115 72/126 [================>.............] - ETA: 0s - loss: 2.5123e-04 - mean_absolute_error: 0.0116 88/126 [===================>..........] - ETA: 0s - loss: 2.4991e-04 - mean_absolute_error: 0.0117106/126 [========================>.....] - ETA: 0s - loss: 2.5088e-04 - mean_absolute_error: 0.0117123/126 [============================>.] - ETA: 0s - loss: 2.4201e-04 - mean_absolute_error: 0.0115126/126 [==============================] - 0s 3ms/step - loss: 2.4124e-04 - mean_absolute_error: 0.0115 - val_loss: 1.0206e-04 - val_mean_absolute_error: 0.0078
Epoch 85/100
  1/126 [..............................] - ETA: 0s - loss: 1.7082e-04 - mean_absolute_error: 0.0100 21/126 [====>.........................] - ETA: 0s - loss: 1.8663e-04 - mean_absolute_error: 0.0096 41/126 [========>.....................] - ETA: 0s - loss: 2.1398e-04 - mean_absolute_error: 0.0103 61/126 [=============>................] - ETA: 0s - loss: 2.2045e-04 - mean_absolute_error: 0.0104 81/126 [==================>...........] - ETA: 0s - loss: 2.0760e-04 - mean_absolute_error: 0.0102101/126 [=======================>......] - ETA: 0s - loss: 1.9772e-04 - mean_absolute_error: 0.0100121/126 [===========================>..] - ETA: 0s - loss: 2.0090e-04 - mean_absolute_error: 0.0102126/126 [==============================] - 0s 3ms/step - loss: 2.0049e-04 - mean_absolute_error: 0.0102 - val_loss: 1.8553e-04 - val_mean_absolute_error: 0.0111
Epoch 86/100
  1/126 [..............................] - ETA: 0s - loss: 4.0013e-04 - mean_absolute_error: 0.0143 21/126 [====>.........................] - ETA: 0s - loss: 2.0692e-04 - mean_absolute_error: 0.0103 41/126 [========>.....................] - ETA: 0s - loss: 1.9425e-04 - mean_absolute_error: 0.0100 61/126 [=============>................] - ETA: 0s - loss: 1.9144e-04 - mean_absolute_error: 0.0100 81/126 [==================>...........] - ETA: 0s - loss: 2.0419e-04 - mean_absolute_error: 0.0105101/126 [=======================>......] - ETA: 0s - loss: 2.0589e-04 - mean_absolute_error: 0.0106122/126 [============================>.] - ETA: 0s - loss: 2.2004e-04 - mean_absolute_error: 0.0109126/126 [==============================] - 0s 3ms/step - loss: 2.2928e-04 - mean_absolute_error: 0.0111 - val_loss: 1.7402e-04 - val_mean_absolute_error: 0.0109
Epoch 87/100
  1/126 [..............................] - ETA: 0s - loss: 2.6594e-04 - mean_absolute_error: 0.0132 21/126 [====>.........................] - ETA: 0s - loss: 3.1556e-04 - mean_absolute_error: 0.0137 41/126 [========>.....................] - ETA: 0s - loss: 2.7778e-04 - mean_absolute_error: 0.0126 61/126 [=============>................] - ETA: 0s - loss: 2.5300e-04 - mean_absolute_error: 0.0118 81/126 [==================>...........] - ETA: 0s - loss: 2.4313e-04 - mean_absolute_error: 0.0115101/126 [=======================>......] - ETA: 0s - loss: 2.4289e-04 - mean_absolute_error: 0.0115121/126 [===========================>..] - ETA: 0s - loss: 2.3265e-04 - mean_absolute_error: 0.0111126/126 [==============================] - 0s 3ms/step - loss: 2.2897e-04 - mean_absolute_error: 0.0110 - val_loss: 9.4476e-05 - val_mean_absolute_error: 0.0075
Epoch 88/100
  1/126 [..............................] - ETA: 0s - loss: 1.7533e-04 - mean_absolute_error: 0.0097 22/126 [====>.........................] - ETA: 0s - loss: 2.2882e-04 - mean_absolute_error: 0.0119 43/126 [=========>....................] - ETA: 0s - loss: 2.2625e-04 - mean_absolute_error: 0.0113 64/126 [==============>...............] - ETA: 0s - loss: 2.1528e-04 - mean_absolute_error: 0.0108 83/126 [==================>...........] - ETA: 0s - loss: 2.4370e-04 - mean_absolute_error: 0.0115103/126 [=======================>......] - ETA: 0s - loss: 2.5914e-04 - mean_absolute_error: 0.0120123/126 [============================>.] - ETA: 0s - loss: 2.7051e-04 - mean_absolute_error: 0.0123126/126 [==============================] - 0s 3ms/step - loss: 2.6961e-04 - mean_absolute_error: 0.0123 - val_loss: 1.1388e-04 - val_mean_absolute_error: 0.0083
Epoch 89/100
  1/126 [..............................] - ETA: 0s - loss: 1.4976e-04 - mean_absolute_error: 0.0095 21/126 [====>.........................] - ETA: 0s - loss: 2.1230e-04 - mean_absolute_error: 0.0106 41/126 [========>.....................] - ETA: 0s - loss: 2.1335e-04 - mean_absolute_error: 0.0106 61/126 [=============>................] - ETA: 0s - loss: 2.0146e-04 - mean_absolute_error: 0.0103 81/126 [==================>...........] - ETA: 0s - loss: 1.9278e-04 - mean_absolute_error: 0.0102101/126 [=======================>......] - ETA: 0s - loss: 2.0424e-04 - mean_absolute_error: 0.0104121/126 [===========================>..] - ETA: 0s - loss: 2.1113e-04 - mean_absolute_error: 0.0105126/126 [==============================] - 0s 3ms/step - loss: 2.1051e-04 - mean_absolute_error: 0.0106 - val_loss: 2.2319e-04 - val_mean_absolute_error: 0.0126
Epoch 90/100
  1/126 [..............................] - ETA: 0s - loss: 2.2364e-04 - mean_absolute_error: 0.0122 21/126 [====>.........................] - ETA: 0s - loss: 2.3002e-04 - mean_absolute_error: 0.0114 41/126 [========>.....................] - ETA: 0s - loss: 2.7917e-04 - mean_absolute_error: 0.0127 61/126 [=============>................] - ETA: 0s - loss: 2.5446e-04 - mean_absolute_error: 0.0120 74/126 [================>.............] - ETA: 0s - loss: 2.4305e-04 - mean_absolute_error: 0.0116 90/126 [====================>.........] - ETA: 0s - loss: 2.3218e-04 - mean_absolute_error: 0.0114107/126 [========================>.....] - ETA: 0s - loss: 2.2755e-04 - mean_absolute_error: 0.0113124/126 [============================>.] - ETA: 0s - loss: 2.3403e-04 - mean_absolute_error: 0.0113126/126 [==============================] - 0s 3ms/step - loss: 2.3309e-04 - mean_absolute_error: 0.0113 - val_loss: 9.4013e-05 - val_mean_absolute_error: 0.0075
Epoch 91/100
  1/126 [..............................] - ETA: 0s - loss: 9.1687e-05 - mean_absolute_error: 0.0072 20/126 [===>..........................] - ETA: 0s - loss: 1.6097e-04 - mean_absolute_error: 0.0097 40/126 [========>.....................] - ETA: 0s - loss: 2.1409e-04 - mean_absolute_error: 0.0109 60/126 [=============>................] - ETA: 0s - loss: 2.1954e-04 - mean_absolute_error: 0.0107 80/126 [==================>...........] - ETA: 0s - loss: 2.1684e-04 - mean_absolute_error: 0.0106100/126 [======================>.......] - ETA: 0s - loss: 2.0720e-04 - mean_absolute_error: 0.0104119/126 [===========================>..] - ETA: 0s - loss: 2.0399e-04 - mean_absolute_error: 0.0104126/126 [==============================] - 0s 3ms/step - loss: 2.0556e-04 - mean_absolute_error: 0.0104 - val_loss: 1.0344e-04 - val_mean_absolute_error: 0.0079
Epoch 92/100
  1/126 [..............................] - ETA: 0s - loss: 2.1307e-04 - mean_absolute_error: 0.0113 21/126 [====>.........................] - ETA: 0s - loss: 2.1543e-04 - mean_absolute_error: 0.0102 41/126 [========>.....................] - ETA: 0s - loss: 1.9157e-04 - mean_absolute_error: 0.0100 61/126 [=============>................] - ETA: 0s - loss: 1.8874e-04 - mean_absolute_error: 0.0100 80/126 [==================>...........] - ETA: 0s - loss: 1.9000e-04 - mean_absolute_error: 0.0099100/126 [======================>.......] - ETA: 0s - loss: 1.9394e-04 - mean_absolute_error: 0.0100119/126 [===========================>..] - ETA: 0s - loss: 1.9100e-04 - mean_absolute_error: 0.0100126/126 [==============================] - 0s 3ms/step - loss: 1.9315e-04 - mean_absolute_error: 0.0100 - val_loss: 2.6765e-04 - val_mean_absolute_error: 0.0140
Epoch 93/100
  1/126 [..............................] - ETA: 0s - loss: 5.5318e-04 - mean_absolute_error: 0.0187 21/126 [====>.........................] - ETA: 0s - loss: 2.5696e-04 - mean_absolute_error: 0.0118 41/126 [========>.....................] - ETA: 0s - loss: 2.1802e-04 - mean_absolute_error: 0.0106 61/126 [=============>................] - ETA: 0s - loss: 2.1858e-04 - mean_absolute_error: 0.0107 81/126 [==================>...........] - ETA: 0s - loss: 2.3627e-04 - mean_absolute_error: 0.0113101/126 [=======================>......] - ETA: 0s - loss: 2.4562e-04 - mean_absolute_error: 0.0116120/126 [===========================>..] - ETA: 0s - loss: 2.4501e-04 - mean_absolute_error: 0.0117126/126 [==============================] - 0s 3ms/step - loss: 2.4937e-04 - mean_absolute_error: 0.0118 - val_loss: 2.3444e-04 - val_mean_absolute_error: 0.0130
Epoch 94/100
  1/126 [..............................] - ETA: 0s - loss: 2.4906e-04 - mean_absolute_error: 0.0120 21/126 [====>.........................] - ETA: 0s - loss: 2.4251e-04 - mean_absolute_error: 0.0119 41/126 [========>.....................] - ETA: 0s - loss: 2.2405e-04 - mean_absolute_error: 0.0111 61/126 [=============>................] - ETA: 0s - loss: 2.0951e-04 - mean_absolute_error: 0.0107 80/126 [==================>...........] - ETA: 0s - loss: 2.1006e-04 - mean_absolute_error: 0.0105100/126 [======================>.......] - ETA: 0s - loss: 2.0860e-04 - mean_absolute_error: 0.0105120/126 [===========================>..] - ETA: 0s - loss: 2.0554e-04 - mean_absolute_error: 0.0104126/126 [==============================] - 0s 3ms/step - loss: 2.0565e-04 - mean_absolute_error: 0.0104 - val_loss: 1.3073e-04 - val_mean_absolute_error: 0.0093
Epoch 95/100
  1/126 [..............................] - ETA: 0s - loss: 3.7440e-04 - mean_absolute_error: 0.0125 21/126 [====>.........................] - ETA: 0s - loss: 2.1293e-04 - mean_absolute_error: 0.0110 41/126 [========>.....................] - ETA: 0s - loss: 2.1031e-04 - mean_absolute_error: 0.0109 62/126 [=============>................] - ETA: 0s - loss: 1.9350e-04 - mean_absolute_error: 0.0104 82/126 [==================>...........] - ETA: 0s - loss: 1.8551e-04 - mean_absolute_error: 0.0102102/126 [=======================>......] - ETA: 0s - loss: 2.0260e-04 - mean_absolute_error: 0.0104122/126 [============================>.] - ETA: 0s - loss: 2.1004e-04 - mean_absolute_error: 0.0105126/126 [==============================] - 0s 3ms/step - loss: 2.0864e-04 - mean_absolute_error: 0.0105 - val_loss: 1.1927e-04 - val_mean_absolute_error: 0.0086
Epoch 96/100
  1/126 [..............................] - ETA: 0s - loss: 2.5539e-04 - mean_absolute_error: 0.0121 21/126 [====>.........................] - ETA: 0s - loss: 1.9575e-04 - mean_absolute_error: 0.0107 41/126 [========>.....................] - ETA: 0s - loss: 2.0145e-04 - mean_absolute_error: 0.0104 61/126 [=============>................] - ETA: 0s - loss: 2.0585e-04 - mean_absolute_error: 0.0105 81/126 [==================>...........] - ETA: 0s - loss: 2.0818e-04 - mean_absolute_error: 0.0105101/126 [=======================>......] - ETA: 0s - loss: 2.0895e-04 - mean_absolute_error: 0.0105122/126 [============================>.] - ETA: 0s - loss: 2.0212e-04 - mean_absolute_error: 0.0103126/126 [==============================] - 0s 3ms/step - loss: 2.0008e-04 - mean_absolute_error: 0.0103 - val_loss: 9.8344e-05 - val_mean_absolute_error: 0.0077
Epoch 97/100
  1/126 [..............................] - ETA: 0s - loss: 1.0717e-04 - mean_absolute_error: 0.0073 21/126 [====>.........................] - ETA: 0s - loss: 1.6062e-04 - mean_absolute_error: 0.0091 41/126 [========>.....................] - ETA: 0s - loss: 1.6723e-04 - mean_absolute_error: 0.0094 61/126 [=============>................] - ETA: 0s - loss: 1.8728e-04 - mean_absolute_error: 0.0096 81/126 [==================>...........] - ETA: 0s - loss: 1.8198e-04 - mean_absolute_error: 0.0096101/126 [=======================>......] - ETA: 0s - loss: 1.9497e-04 - mean_absolute_error: 0.0099121/126 [===========================>..] - ETA: 0s - loss: 1.9462e-04 - mean_absolute_error: 0.0100126/126 [==============================] - 0s 3ms/step - loss: 1.9601e-04 - mean_absolute_error: 0.0100 - val_loss: 3.0494e-04 - val_mean_absolute_error: 0.0152
Epoch 98/100
  1/126 [..............................] - ETA: 0s - loss: 3.0500e-04 - mean_absolute_error: 0.0152 21/126 [====>.........................] - ETA: 0s - loss: 1.7951e-04 - mean_absolute_error: 0.0102 41/126 [========>.....................] - ETA: 0s - loss: 2.0623e-04 - mean_absolute_error: 0.0105 61/126 [=============>................] - ETA: 0s - loss: 1.9427e-04 - mean_absolute_error: 0.0102 81/126 [==================>...........] - ETA: 0s - loss: 2.0900e-04 - mean_absolute_error: 0.0106101/126 [=======================>......] - ETA: 0s - loss: 2.1710e-04 - mean_absolute_error: 0.0108121/126 [===========================>..] - ETA: 0s - loss: 2.1707e-04 - mean_absolute_error: 0.0107126/126 [==============================] - 0s 3ms/step - loss: 2.1507e-04 - mean_absolute_error: 0.0106 - val_loss: 9.3229e-05 - val_mean_absolute_error: 0.0074
Epoch 99/100
  1/126 [..............................] - ETA: 0s - loss: 2.0405e-04 - mean_absolute_error: 0.0112 21/126 [====>.........................] - ETA: 0s - loss: 2.2018e-04 - mean_absolute_error: 0.0110 41/126 [========>.....................] - ETA: 0s - loss: 2.2528e-04 - mean_absolute_error: 0.0110 61/126 [=============>................] - ETA: 0s - loss: 2.0160e-04 - mean_absolute_error: 0.0102 81/126 [==================>...........] - ETA: 0s - loss: 1.9442e-04 - mean_absolute_error: 0.0100101/126 [=======================>......] - ETA: 0s - loss: 1.9448e-04 - mean_absolute_error: 0.0101121/126 [===========================>..] - ETA: 0s - loss: 1.9926e-04 - mean_absolute_error: 0.0102126/126 [==============================] - 0s 3ms/step - loss: 1.9831e-04 - mean_absolute_error: 0.0102 - val_loss: 1.4582e-04 - val_mean_absolute_error: 0.0099
Epoch 100/100
  1/126 [..............................] - ETA: 0s - loss: 1.1874e-04 - mean_absolute_error: 0.0090 21/126 [====>.........................] - ETA: 0s - loss: 1.4859e-04 - mean_absolute_error: 0.0094 42/126 [=========>....................] - ETA: 0s - loss: 1.8721e-04 - mean_absolute_error: 0.0102 62/126 [=============>................] - ETA: 0s - loss: 1.8726e-04 - mean_absolute_error: 0.0103 82/126 [==================>...........] - ETA: 0s - loss: 2.0121e-04 - mean_absolute_error: 0.0105102/126 [=======================>......] - ETA: 0s - loss: 2.1178e-04 - mean_absolute_error: 0.0106122/126 [============================>.] - ETA: 0s - loss: 2.0533e-04 - mean_absolute_error: 0.0104126/126 [==============================] - 0s 3ms/step - loss: 2.0366e-04 - mean_absolute_error: 0.0103 - val_loss: 9.0787e-05 - val_mean_absolute_error: 0.0073

<keras.src.callbacks.History at 0x1b9a2801ad0>

After the training and fitting of the Machine Learning model for Austrailia, I tried to create visualizations comparing the model against the country’s training dataset, validation dataset, but most importantly the testing dataset (as shown below in the line graphs). Note that the darker and thicker blue lines represent the prediction model’s projections and the thinner red lines is the observed/gathered data.

```{python}
# Testing the Machine Learning Model prediction for Austrailia with the train, 
# validation, and test sets
# Most important is the test set prediction as this tests the effectiveness
# of the Machine Learning model on data it has not seen before 
austrailia_train_pred = austrailia_model.predict(X_austrailia_train).flatten()

plt.plot(dates_austrailia_train, austrailia_train_pred, linewidth=4)
plt.plot(dates_austrailia_train, y_austrailia_train, linewidth=1)
plt.legend(["Training Predictions", "Training Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Austrailia - Training Set Predictions vs. Observations")
plt.show()

austrailia_val_pred = austrailia_model.predict(X_austrailia_val).flatten()

plt.plot(dates_austrailia_val, austrailia_val_pred, linewidth=4)
plt.plot(dates_austrailia_val, y_austrailia_val, linewidth=1)
plt.legend(["Validation Predictions", "Validation Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Austrailia - Validation Set Predictions vs. Observations")
plt.show()

austrailia_test_pred = austrailia_model.predict(X_austrailia_test).flatten()

plt.plot(dates_austrailia_test, austrailia_test_pred, linewidth=4)
plt.plot(dates_austrailia_test, y_austrailia_test, linewidth=1)
plt.legend(["Testing Predictions", "Testing Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Austrailia - Testing Set Predictions vs. Observations")
plt.show()
```

  1/126 [..............................] - ETA: 43s 40/126 [========>.....................] - ETA: 0s  77/126 [=================>............] - ETA: 0s116/126 [==========================>...] - ETA: 0s126/126 [==============================] - 1s 1ms/step
 1/16 [>.............................] - ETA: 0s16/16 [==============================] - 0s 1ms/step
 1/16 [>.............................] - ETA: 0s16/16 [==============================] - 0s 1ms/step

Through careful consideration of all of the prediction-based vs. observation-based contrast visualizations together, I consolidated all of graphics into one singular visualization for you to see below to get a more general perspective of the effectiveness of the Machine Learning model at training and fitting towards predicting Austrailia’s international currency rate with the United States.

```{python}
# Plotting Austrailia's observational (reference) data with the predictions of 
# its Machine Learning Model (as a way to visually inspect the effectiveness of 
# the model) 
plt.plot(dates_austrailia_train, austrailia_train_pred, linewidth=4)
plt.plot(dates_austrailia_train, y_austrailia_train, linewidth=1)
plt.plot(dates_austrailia_val, austrailia_val_pred, linewidth=4)
plt.plot(dates_austrailia_val, y_austrailia_val, linewidth=1)
plt.plot(dates_austrailia_test, austrailia_test_pred, linewidth=4)
plt.plot(dates_austrailia_test, y_austrailia_test, linewidth=1)

plt.legend(["Training Predictions",
            "Training Observations",
            "Validation Predictions",
            "Validation Observations",
            "Testing Predictions",
            "Testing Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Culmination of the Three Machine Learning Phases of Austrailia's Dataset - Predictions vs. Observations")
plt.show()
```

Once Austraila’s data was completely trained and visualized, I worked on Canada’s data (as shown below):

Since the data (date, X, and y) is split into three np.arrays and to be more efficient, I will manually split Canada’s data into train, test, and validation datasets for the Machine Learning model with 80% going to the training dataset, the next 10% going to the validation dataset, and the last 10% going to the test dataset for each np.array respectively.

```{python}
# Splitting Canada's data into train, test, and validation sets on 3 mediums: 
# the X-axis, the y-axis, and the indices (represented by dates)
dates_canada_train, X_canada_train, y_canada_train = dates_canada[:percentile_80], X_canada[:percentile_80], y_canada[:percentile_80]
dates_canada_val, X_canada_val, y_canada_val = dates_canada[percentile_80:percentile_90], X_canada[percentile_80:percentile_90], y_canada[percentile_80:percentile_90]
dates_canada_test, X_canada_test, y_canada_test = dates_canada[percentile_90:], X_canada[percentile_90:], y_canada[percentile_90:]

plt.plot(dates_canada_train, y_canada_train, linewidth=1)
plt.plot(dates_canada_val, y_canada_val, linewidth=1)
plt.plot(dates_canada_test, y_canada_test, linewidth=1)

plt.legend(["Training", "Validation", "Testing"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Split of Canada's Data for LSTM Model")
plt.show()
```

Now, I began to configure the Machine Learning model. We added Sequential layers: an Input layer 3 by 1 because we will have 3 np.arrays of Input and 1 np.array as output, utilize a LSTM (Long Short-Term Memory) layer of 64 neurons, apply 2 levels of dense layers with 32 neurons and folliowing recommendations online to use the RELU (Rectified Linear Unit) Activiation Function, and I followed up with one last dense layer of 1 neuron as our output layer since we are just trying to linearly-predict the next currency-rate on a near-future date. Once I configured the Sequential layers, we are ready to compile the model, utilzing the mean_square_error as our minimizing loss function, using the Adam optimizer, and comparing our trained model against our data with the mean_absolute_error metric. Lastly, I fitted our model, utilzing our X_train and Y_train datasets for fitting with validation from our X_valid and Y_valid datasets at 100 epochs.

```{python}
# Configuring the Machine Learning Tensorflow Model for Canada
canada_model = Sequential([layers.Input((3, 1)),
                    layers.LSTM(64),
                    layers.Dense(32, activation="relu"),
                    layers.Dense(32, activation="relu"),
                    layers.Dense(1)])

canada_model.compile(loss="mse",
              optimizer=Adam(learning_rate=0.001),
              metrics=["mean_absolute_error"])

canada_model.fit(X_canada_train, y_canada_train, validation_data=(X_canada_val, y_canada_val), epochs=100)
```

Epoch 1/100
  1/126 [..............................] - ETA: 3:48 - loss: 1.6084 - mean_absolute_error: 1.2506 22/126 [====>.........................] - ETA: 0s - loss: 1.0615 - mean_absolute_error: 1.0062   42/126 [=========>....................] - ETA: 0s - loss: 0.6235 - mean_absolute_error: 0.6737 62/126 [=============>................] - ETA: 0s - loss: 0.4284 - mean_absolute_error: 0.4923 82/126 [==================>...........] - ETA: 0s - loss: 0.3249 - mean_absolute_error: 0.3852102/126 [=======================>......] - ETA: 0s - loss: 0.2617 - mean_absolute_error: 0.3184122/126 [============================>.] - ETA: 0s - loss: 0.2192 - mean_absolute_error: 0.2734126/126 [==============================] - 3s 6ms/step - loss: 0.2134 - mean_absolute_error: 0.2671 - val_loss: 3.5847e-04 - val_mean_absolute_error: 0.0153
Epoch 2/100
  1/126 [..............................] - ETA: 0s - loss: 0.0024 - mean_absolute_error: 0.0433 24/126 [====>.........................] - ETA: 0s - loss: 0.0022 - mean_absolute_error: 0.0410 45/126 [=========>....................] - ETA: 0s - loss: 0.0021 - mean_absolute_error: 0.0396 67/126 [==============>...............] - ETA: 0s - loss: 0.0019 - mean_absolute_error: 0.0385 87/126 [===================>..........] - ETA: 0s - loss: 0.0018 - mean_absolute_error: 0.0373108/126 [========================>.....] - ETA: 0s - loss: 0.0017 - mean_absolute_error: 0.0357126/126 [==============================] - 0s 3ms/step - loss: 0.0016 - mean_absolute_error: 0.0346 - val_loss: 2.1387e-04 - val_mean_absolute_error: 0.0116
Epoch 3/100
  1/126 [..............................] - ETA: 0s - loss: 9.9135e-04 - mean_absolute_error: 0.0287 22/126 [====>.........................] - ETA: 0s - loss: 9.3043e-04 - mean_absolute_error: 0.0266 42/126 [=========>....................] - ETA: 0s - loss: 8.5092e-04 - mean_absolute_error: 0.0254 62/126 [=============>................] - ETA: 0s - loss: 7.8749e-04 - mean_absolute_error: 0.0243 83/126 [==================>...........] - ETA: 0s - loss: 7.3721e-04 - mean_absolute_error: 0.0235104/126 [=======================>......] - ETA: 0s - loss: 6.7967e-04 - mean_absolute_error: 0.0224125/126 [============================>.] - ETA: 0s - loss: 6.2588e-04 - mean_absolute_error: 0.0214126/126 [==============================] - 0s 3ms/step - loss: 6.2518e-04 - mean_absolute_error: 0.0214 - val_loss: 2.0174e-04 - val_mean_absolute_error: 0.0116
Epoch 4/100
  1/126 [..............................] - ETA: 0s - loss: 3.3846e-04 - mean_absolute_error: 0.0154 22/126 [====>.........................] - ETA: 0s - loss: 3.0800e-04 - mean_absolute_error: 0.0147 43/126 [=========>....................] - ETA: 0s - loss: 2.8997e-04 - mean_absolute_error: 0.0142 63/126 [==============>...............] - ETA: 0s - loss: 2.7068e-04 - mean_absolute_error: 0.0137 83/126 [==================>...........] - ETA: 0s - loss: 2.5336e-04 - mean_absolute_error: 0.0132104/126 [=======================>......] - ETA: 0s - loss: 2.3448e-04 - mean_absolute_error: 0.0126125/126 [============================>.] - ETA: 0s - loss: 2.1899e-04 - mean_absolute_error: 0.0121126/126 [==============================] - 0s 3ms/step - loss: 2.1865e-04 - mean_absolute_error: 0.0121 - val_loss: 1.2445e-04 - val_mean_absolute_error: 0.0089
Epoch 5/100
  1/126 [..............................] - ETA: 0s - loss: 1.2998e-04 - mean_absolute_error: 0.0093 22/126 [====>.........................] - ETA: 0s - loss: 1.3957e-04 - mean_absolute_error: 0.0094 43/126 [=========>....................] - ETA: 0s - loss: 1.3502e-04 - mean_absolute_error: 0.0092 63/126 [==============>...............] - ETA: 0s - loss: 1.2710e-04 - mean_absolute_error: 0.0088 84/126 [===================>..........] - ETA: 0s - loss: 1.2479e-04 - mean_absolute_error: 0.0087104/126 [=======================>......] - ETA: 0s - loss: 1.2176e-04 - mean_absolute_error: 0.0086124/126 [============================>.] - ETA: 0s - loss: 1.1886e-04 - mean_absolute_error: 0.0085126/126 [==============================] - 0s 3ms/step - loss: 1.1853e-04 - mean_absolute_error: 0.0084 - val_loss: 1.2393e-04 - val_mean_absolute_error: 0.0088
Epoch 6/100
  1/126 [..............................] - ETA: 0s - loss: 1.1553e-04 - mean_absolute_error: 0.0085 22/126 [====>.........................] - ETA: 0s - loss: 9.7265e-05 - mean_absolute_error: 0.0076 43/126 [=========>....................] - ETA: 0s - loss: 9.8758e-05 - mean_absolute_error: 0.0077 63/126 [==============>...............] - ETA: 0s - loss: 9.9929e-05 - mean_absolute_error: 0.0076 83/126 [==================>...........] - ETA: 0s - loss: 1.0241e-04 - mean_absolute_error: 0.0077101/126 [=======================>......] - ETA: 0s - loss: 1.0484e-04 - mean_absolute_error: 0.0078120/126 [===========================>..] - ETA: 0s - loss: 1.0564e-04 - mean_absolute_error: 0.0078126/126 [==============================] - 0s 3ms/step - loss: 1.0605e-04 - mean_absolute_error: 0.0079 - val_loss: 1.1293e-04 - val_mean_absolute_error: 0.0083
Epoch 7/100
  1/126 [..............................] - ETA: 0s - loss: 5.3353e-05 - mean_absolute_error: 0.0061 21/126 [====>.........................] - ETA: 0s - loss: 1.1539e-04 - mean_absolute_error: 0.0080 40/126 [========>.....................] - ETA: 0s - loss: 1.0610e-04 - mean_absolute_error: 0.0077 60/126 [=============>................] - ETA: 0s - loss: 1.0095e-04 - mean_absolute_error: 0.0076 80/126 [==================>...........] - ETA: 0s - loss: 1.0207e-04 - mean_absolute_error: 0.0076101/126 [=======================>......] - ETA: 0s - loss: 1.0487e-04 - mean_absolute_error: 0.0078122/126 [============================>.] - ETA: 0s - loss: 1.0330e-04 - mean_absolute_error: 0.0077126/126 [==============================] - 0s 3ms/step - loss: 1.0288e-04 - mean_absolute_error: 0.0077 - val_loss: 1.1638e-04 - val_mean_absolute_error: 0.0085
Epoch 8/100
  1/126 [..............................] - ETA: 0s - loss: 1.1347e-04 - mean_absolute_error: 0.0079 21/126 [====>.........................] - ETA: 0s - loss: 1.0499e-04 - mean_absolute_error: 0.0079 41/126 [========>.....................] - ETA: 0s - loss: 9.8606e-05 - mean_absolute_error: 0.0077 62/126 [=============>................] - ETA: 0s - loss: 9.9099e-05 - mean_absolute_error: 0.0076 83/126 [==================>...........] - ETA: 0s - loss: 1.0490e-04 - mean_absolute_error: 0.0078104/126 [=======================>......] - ETA: 0s - loss: 1.0291e-04 - mean_absolute_error: 0.0077124/126 [============================>.] - ETA: 0s - loss: 1.0185e-04 - mean_absolute_error: 0.0077126/126 [==============================] - 0s 3ms/step - loss: 1.0129e-04 - mean_absolute_error: 0.0076 - val_loss: 1.1290e-04 - val_mean_absolute_error: 0.0081
Epoch 9/100
  1/126 [..............................] - ETA: 0s - loss: 1.0115e-04 - mean_absolute_error: 0.0087 22/126 [====>.........................] - ETA: 0s - loss: 9.5266e-05 - mean_absolute_error: 0.0075 42/126 [=========>....................] - ETA: 0s - loss: 1.0179e-04 - mean_absolute_error: 0.0077 63/126 [==============>...............] - ETA: 0s - loss: 1.0233e-04 - mean_absolute_error: 0.0077 84/126 [===================>..........] - ETA: 0s - loss: 1.0381e-04 - mean_absolute_error: 0.0077104/126 [=======================>......] - ETA: 0s - loss: 1.0333e-04 - mean_absolute_error: 0.0077125/126 [============================>.] - ETA: 0s - loss: 1.0072e-04 - mean_absolute_error: 0.0076126/126 [==============================] - 0s 3ms/step - loss: 1.0051e-04 - mean_absolute_error: 0.0076 - val_loss: 1.3586e-04 - val_mean_absolute_error: 0.0093
Epoch 10/100
  1/126 [..............................] - ETA: 0s - loss: 1.2833e-04 - mean_absolute_error: 0.0090 22/126 [====>.........................] - ETA: 0s - loss: 1.1013e-04 - mean_absolute_error: 0.0079 43/126 [=========>....................] - ETA: 0s - loss: 1.0653e-04 - mean_absolute_error: 0.0079 63/126 [==============>...............] - ETA: 0s - loss: 1.0563e-04 - mean_absolute_error: 0.0078 84/126 [===================>..........] - ETA: 0s - loss: 1.0711e-04 - mean_absolute_error: 0.0078105/126 [========================>.....] - ETA: 0s - loss: 1.0514e-04 - mean_absolute_error: 0.0078126/126 [==============================] - ETA: 0s - loss: 1.0370e-04 - mean_absolute_error: 0.0077126/126 [==============================] - 0s 3ms/step - loss: 1.0370e-04 - mean_absolute_error: 0.0077 - val_loss: 1.5492e-04 - val_mean_absolute_error: 0.0100
Epoch 11/100
  1/126 [..............................] - ETA: 0s - loss: 1.1092e-04 - mean_absolute_error: 0.0085 22/126 [====>.........................] - ETA: 0s - loss: 9.8273e-05 - mean_absolute_error: 0.0076 43/126 [=========>....................] - ETA: 0s - loss: 9.2782e-05 - mean_absolute_error: 0.0074 64/126 [==============>...............] - ETA: 0s - loss: 9.4671e-05 - mean_absolute_error: 0.0074 84/126 [===================>..........] - ETA: 0s - loss: 9.8771e-05 - mean_absolute_error: 0.0075104/126 [=======================>......] - ETA: 0s - loss: 1.0227e-04 - mean_absolute_error: 0.0076124/126 [============================>.] - ETA: 0s - loss: 1.0316e-04 - mean_absolute_error: 0.0077126/126 [==============================] - 0s 3ms/step - loss: 1.0292e-04 - mean_absolute_error: 0.0077 - val_loss: 1.1871e-04 - val_mean_absolute_error: 0.0086
Epoch 12/100
  1/126 [..............................] - ETA: 0s - loss: 9.1325e-05 - mean_absolute_error: 0.0069 22/126 [====>.........................] - ETA: 0s - loss: 1.1217e-04 - mean_absolute_error: 0.0077 43/126 [=========>....................] - ETA: 0s - loss: 1.0369e-04 - mean_absolute_error: 0.0075 64/126 [==============>...............] - ETA: 0s - loss: 1.0422e-04 - mean_absolute_error: 0.0076 84/126 [===================>..........] - ETA: 0s - loss: 1.0408e-04 - mean_absolute_error: 0.0076104/126 [=======================>......] - ETA: 0s - loss: 1.0276e-04 - mean_absolute_error: 0.0076124/126 [============================>.] - ETA: 0s - loss: 1.0061e-04 - mean_absolute_error: 0.0075126/126 [==============================] - 0s 3ms/step - loss: 1.0042e-04 - mean_absolute_error: 0.0075 - val_loss: 1.2555e-04 - val_mean_absolute_error: 0.0089
Epoch 13/100
  1/126 [..............................] - ETA: 0s - loss: 7.2034e-05 - mean_absolute_error: 0.0065 22/126 [====>.........................] - ETA: 0s - loss: 1.0719e-04 - mean_absolute_error: 0.0077 43/126 [=========>....................] - ETA: 0s - loss: 1.0976e-04 - mean_absolute_error: 0.0078 63/126 [==============>...............] - ETA: 0s - loss: 1.1095e-04 - mean_absolute_error: 0.0079 82/126 [==================>...........] - ETA: 0s - loss: 1.0971e-04 - mean_absolute_error: 0.0079103/126 [=======================>......] - ETA: 0s - loss: 1.0986e-04 - mean_absolute_error: 0.0079124/126 [============================>.] - ETA: 0s - loss: 1.0692e-04 - mean_absolute_error: 0.0078126/126 [==============================] - 0s 3ms/step - loss: 1.0678e-04 - mean_absolute_error: 0.0078 - val_loss: 1.1227e-04 - val_mean_absolute_error: 0.0081
Epoch 14/100
  1/126 [..............................] - ETA: 0s - loss: 8.3271e-05 - mean_absolute_error: 0.0074 22/126 [====>.........................] - ETA: 0s - loss: 1.1535e-04 - mean_absolute_error: 0.0086 43/126 [=========>....................] - ETA: 0s - loss: 1.1124e-04 - mean_absolute_error: 0.0082 63/126 [==============>...............] - ETA: 0s - loss: 1.0562e-04 - mean_absolute_error: 0.0079 84/126 [===================>..........] - ETA: 0s - loss: 1.0476e-04 - mean_absolute_error: 0.0079105/126 [========================>.....] - ETA: 0s - loss: 1.0693e-04 - mean_absolute_error: 0.0079124/126 [============================>.] - ETA: 0s - loss: 1.0703e-04 - mean_absolute_error: 0.0079126/126 [==============================] - 0s 3ms/step - loss: 1.0769e-04 - mean_absolute_error: 0.0079 - val_loss: 1.1415e-04 - val_mean_absolute_error: 0.0084
Epoch 15/100
  1/126 [..............................] - ETA: 0s - loss: 7.8001e-05 - mean_absolute_error: 0.0065 22/126 [====>.........................] - ETA: 0s - loss: 1.0325e-04 - mean_absolute_error: 0.0077 42/126 [=========>....................] - ETA: 0s - loss: 1.1015e-04 - mean_absolute_error: 0.0079 62/126 [=============>................] - ETA: 0s - loss: 1.1069e-04 - mean_absolute_error: 0.0080 82/126 [==================>...........] - ETA: 0s - loss: 1.1093e-04 - mean_absolute_error: 0.0079102/126 [=======================>......] - ETA: 0s - loss: 1.1017e-04 - mean_absolute_error: 0.0079122/126 [============================>.] - ETA: 0s - loss: 1.0892e-04 - mean_absolute_error: 0.0079126/126 [==============================] - 0s 3ms/step - loss: 1.0878e-04 - mean_absolute_error: 0.0079 - val_loss: 1.4823e-04 - val_mean_absolute_error: 0.0098
Epoch 16/100
  1/126 [..............................] - ETA: 0s - loss: 9.0254e-05 - mean_absolute_error: 0.0066 22/126 [====>.........................] - ETA: 0s - loss: 1.3303e-04 - mean_absolute_error: 0.0081 42/126 [=========>....................] - ETA: 0s - loss: 1.1483e-04 - mean_absolute_error: 0.0079 62/126 [=============>................] - ETA: 0s - loss: 1.0904e-04 - mean_absolute_error: 0.0077 82/126 [==================>...........] - ETA: 0s - loss: 1.0511e-04 - mean_absolute_error: 0.0076102/126 [=======================>......] - ETA: 0s - loss: 1.0262e-04 - mean_absolute_error: 0.0076122/126 [============================>.] - ETA: 0s - loss: 1.0312e-04 - mean_absolute_error: 0.0076126/126 [==============================] - 0s 3ms/step - loss: 1.0332e-04 - mean_absolute_error: 0.0077 - val_loss: 1.2676e-04 - val_mean_absolute_error: 0.0089
Epoch 17/100
  1/126 [..............................] - ETA: 0s - loss: 8.8973e-05 - mean_absolute_error: 0.0072 21/126 [====>.........................] - ETA: 0s - loss: 9.2767e-05 - mean_absolute_error: 0.0073 41/126 [========>.....................] - ETA: 0s - loss: 1.0424e-04 - mean_absolute_error: 0.0077 61/126 [=============>................] - ETA: 0s - loss: 1.0381e-04 - mean_absolute_error: 0.0077 81/126 [==================>...........] - ETA: 0s - loss: 1.0062e-04 - mean_absolute_error: 0.0076101/126 [=======================>......] - ETA: 0s - loss: 9.9393e-05 - mean_absolute_error: 0.0076122/126 [============================>.] - ETA: 0s - loss: 1.0245e-04 - mean_absolute_error: 0.0077126/126 [==============================] - 0s 3ms/step - loss: 1.0358e-04 - mean_absolute_error: 0.0077 - val_loss: 1.1147e-04 - val_mean_absolute_error: 0.0081
Epoch 18/100
  1/126 [..............................] - ETA: 0s - loss: 7.8883e-05 - mean_absolute_error: 0.0072 22/126 [====>.........................] - ETA: 0s - loss: 1.1179e-04 - mean_absolute_error: 0.0081 42/126 [=========>....................] - ETA: 0s - loss: 1.0870e-04 - mean_absolute_error: 0.0079 62/126 [=============>................] - ETA: 0s - loss: 1.1225e-04 - mean_absolute_error: 0.0081 83/126 [==================>...........] - ETA: 0s - loss: 1.1220e-04 - mean_absolute_error: 0.0081104/126 [=======================>......] - ETA: 0s - loss: 1.1102e-04 - mean_absolute_error: 0.0080125/126 [============================>.] - ETA: 0s - loss: 1.1023e-04 - mean_absolute_error: 0.0080126/126 [==============================] - 0s 3ms/step - loss: 1.1022e-04 - mean_absolute_error: 0.0080 - val_loss: 1.4748e-04 - val_mean_absolute_error: 0.0098
Epoch 19/100
  1/126 [..............................] - ETA: 0s - loss: 1.4576e-04 - mean_absolute_error: 0.0092 22/126 [====>.........................] - ETA: 0s - loss: 1.0922e-04 - mean_absolute_error: 0.0078 43/126 [=========>....................] - ETA: 0s - loss: 1.0496e-04 - mean_absolute_error: 0.0078 64/126 [==============>...............] - ETA: 0s - loss: 1.0795e-04 - mean_absolute_error: 0.0078 84/126 [===================>..........] - ETA: 0s - loss: 1.0862e-04 - mean_absolute_error: 0.0079104/126 [=======================>......] - ETA: 0s - loss: 1.0824e-04 - mean_absolute_error: 0.0079123/126 [============================>.] - ETA: 0s - loss: 1.0854e-04 - mean_absolute_error: 0.0079126/126 [==============================] - 0s 3ms/step - loss: 1.0854e-04 - mean_absolute_error: 0.0080 - val_loss: 1.2748e-04 - val_mean_absolute_error: 0.0089
Epoch 20/100
  1/126 [..............................] - ETA: 0s - loss: 9.1216e-05 - mean_absolute_error: 0.0075 21/126 [====>.........................] - ETA: 0s - loss: 1.2056e-04 - mean_absolute_error: 0.0084 41/126 [========>.....................] - ETA: 0s - loss: 1.1634e-04 - mean_absolute_error: 0.0082 61/126 [=============>................] - ETA: 0s - loss: 1.1394e-04 - mean_absolute_error: 0.0081 82/126 [==================>...........] - ETA: 0s - loss: 1.1147e-04 - mean_absolute_error: 0.0080102/126 [=======================>......] - ETA: 0s - loss: 1.0956e-04 - mean_absolute_error: 0.0079122/126 [============================>.] - ETA: 0s - loss: 1.0885e-04 - mean_absolute_error: 0.0079126/126 [==============================] - 0s 3ms/step - loss: 1.0878e-04 - mean_absolute_error: 0.0079 - val_loss: 1.3094e-04 - val_mean_absolute_error: 0.0091
Epoch 21/100
  1/126 [..............................] - ETA: 0s - loss: 5.7664e-05 - mean_absolute_error: 0.0064 21/126 [====>.........................] - ETA: 0s - loss: 9.4649e-05 - mean_absolute_error: 0.0076 42/126 [=========>....................] - ETA: 0s - loss: 9.7874e-05 - mean_absolute_error: 0.0077 63/126 [==============>...............] - ETA: 0s - loss: 1.0093e-04 - mean_absolute_error: 0.0077 84/126 [===================>..........] - ETA: 0s - loss: 1.0268e-04 - mean_absolute_error: 0.0077105/126 [========================>.....] - ETA: 0s - loss: 1.0708e-04 - mean_absolute_error: 0.0079125/126 [============================>.] - ETA: 0s - loss: 1.0808e-04 - mean_absolute_error: 0.0079126/126 [==============================] - 0s 3ms/step - loss: 1.0804e-04 - mean_absolute_error: 0.0079 - val_loss: 1.2977e-04 - val_mean_absolute_error: 0.0091
Epoch 22/100
  1/126 [..............................] - ETA: 0s - loss: 5.6199e-05 - mean_absolute_error: 0.0063 22/126 [====>.........................] - ETA: 0s - loss: 1.0585e-04 - mean_absolute_error: 0.0079 40/126 [========>.....................] - ETA: 0s - loss: 1.0682e-04 - mean_absolute_error: 0.0080 56/126 [============>.................] - ETA: 0s - loss: 1.0765e-04 - mean_absolute_error: 0.0079 74/126 [================>.............] - ETA: 0s - loss: 1.0887e-04 - mean_absolute_error: 0.0080 92/126 [====================>.........] - ETA: 0s - loss: 1.0653e-04 - mean_absolute_error: 0.0079112/126 [=========================>....] - ETA: 0s - loss: 1.0687e-04 - mean_absolute_error: 0.0078126/126 [==============================] - 0s 3ms/step - loss: 1.0535e-04 - mean_absolute_error: 0.0078 - val_loss: 1.4180e-04 - val_mean_absolute_error: 0.0096
Epoch 23/100
  1/126 [..............................] - ETA: 0s - loss: 8.2279e-05 - mean_absolute_error: 0.0069 22/126 [====>.........................] - ETA: 0s - loss: 1.0296e-04 - mean_absolute_error: 0.0078 43/126 [=========>....................] - ETA: 0s - loss: 1.1326e-04 - mean_absolute_error: 0.0080 64/126 [==============>...............] - ETA: 0s - loss: 1.1373e-04 - mean_absolute_error: 0.0081 85/126 [===================>..........] - ETA: 0s - loss: 1.1087e-04 - mean_absolute_error: 0.0080105/126 [========================>.....] - ETA: 0s - loss: 1.1056e-04 - mean_absolute_error: 0.0080125/126 [============================>.] - ETA: 0s - loss: 1.1003e-04 - mean_absolute_error: 0.0080126/126 [==============================] - 0s 3ms/step - loss: 1.1017e-04 - mean_absolute_error: 0.0080 - val_loss: 1.1931e-04 - val_mean_absolute_error: 0.0085
Epoch 24/100
  1/126 [..............................] - ETA: 0s - loss: 1.3671e-04 - mean_absolute_error: 0.0091 22/126 [====>.........................] - ETA: 0s - loss: 1.1685e-04 - mean_absolute_error: 0.0079 43/126 [=========>....................] - ETA: 0s - loss: 1.1184e-04 - mean_absolute_error: 0.0079 63/126 [==============>...............] - ETA: 0s - loss: 1.0899e-04 - mean_absolute_error: 0.0078 83/126 [==================>...........] - ETA: 0s - loss: 1.0631e-04 - mean_absolute_error: 0.0078103/126 [=======================>......] - ETA: 0s - loss: 1.0541e-04 - mean_absolute_error: 0.0078124/126 [============================>.] - ETA: 0s - loss: 1.0664e-04 - mean_absolute_error: 0.0078126/126 [==============================] - 0s 3ms/step - loss: 1.0690e-04 - mean_absolute_error: 0.0078 - val_loss: 1.6401e-04 - val_mean_absolute_error: 0.0102
Epoch 25/100
  1/126 [..............................] - ETA: 0s - loss: 1.4853e-04 - mean_absolute_error: 0.0103 22/126 [====>.........................] - ETA: 0s - loss: 1.4646e-04 - mean_absolute_error: 0.0094 43/126 [=========>....................] - ETA: 0s - loss: 1.2644e-04 - mean_absolute_error: 0.0087 64/126 [==============>...............] - ETA: 0s - loss: 1.2659e-04 - mean_absolute_error: 0.0086 85/126 [===================>..........] - ETA: 0s - loss: 1.2347e-04 - mean_absolute_error: 0.0085106/126 [========================>.....] - ETA: 0s - loss: 1.1836e-04 - mean_absolute_error: 0.0083126/126 [==============================] - ETA: 0s - loss: 1.1728e-04 - mean_absolute_error: 0.0082126/126 [==============================] - 0s 3ms/step - loss: 1.1728e-04 - mean_absolute_error: 0.0082 - val_loss: 1.1328e-04 - val_mean_absolute_error: 0.0083
Epoch 26/100
  1/126 [..............................] - ETA: 0s - loss: 9.3131e-05 - mean_absolute_error: 0.0073 22/126 [====>.........................] - ETA: 0s - loss: 1.0350e-04 - mean_absolute_error: 0.0077 43/126 [=========>....................] - ETA: 0s - loss: 1.0591e-04 - mean_absolute_error: 0.0076 64/126 [==============>...............] - ETA: 0s - loss: 1.0454e-04 - mean_absolute_error: 0.0076 85/126 [===================>..........] - ETA: 0s - loss: 1.0254e-04 - mean_absolute_error: 0.0076106/126 [========================>.....] - ETA: 0s - loss: 1.0161e-04 - mean_absolute_error: 0.0076126/126 [==============================] - ETA: 0s - loss: 1.0278e-04 - mean_absolute_error: 0.0076126/126 [==============================] - 0s 3ms/step - loss: 1.0278e-04 - mean_absolute_error: 0.0076 - val_loss: 1.3323e-04 - val_mean_absolute_error: 0.0092
Epoch 27/100
  1/126 [..............................] - ETA: 0s - loss: 8.0296e-05 - mean_absolute_error: 0.0075 22/126 [====>.........................] - ETA: 0s - loss: 9.3678e-05 - mean_absolute_error: 0.0073 43/126 [=========>....................] - ETA: 0s - loss: 9.1663e-05 - mean_absolute_error: 0.0074 64/126 [==============>...............] - ETA: 0s - loss: 9.7508e-05 - mean_absolute_error: 0.0076 85/126 [===================>..........] - ETA: 0s - loss: 1.0505e-04 - mean_absolute_error: 0.0078106/126 [========================>.....] - ETA: 0s - loss: 1.1360e-04 - mean_absolute_error: 0.0081126/126 [==============================] - 0s 3ms/step - loss: 1.1658e-04 - mean_absolute_error: 0.0082 - val_loss: 1.1225e-04 - val_mean_absolute_error: 0.0082
Epoch 28/100
  1/126 [..............................] - ETA: 0s - loss: 9.0791e-05 - mean_absolute_error: 0.0078 22/126 [====>.........................] - ETA: 0s - loss: 1.1289e-04 - mean_absolute_error: 0.0081 42/126 [=========>....................] - ETA: 0s - loss: 1.1246e-04 - mean_absolute_error: 0.0081 62/126 [=============>................] - ETA: 0s - loss: 1.0827e-04 - mean_absolute_error: 0.0080 83/126 [==================>...........] - ETA: 0s - loss: 1.0379e-04 - mean_absolute_error: 0.0078104/126 [=======================>......] - ETA: 0s - loss: 1.0147e-04 - mean_absolute_error: 0.0077125/126 [============================>.] - ETA: 0s - loss: 1.0786e-04 - mean_absolute_error: 0.0079126/126 [==============================] - 0s 3ms/step - loss: 1.0762e-04 - mean_absolute_error: 0.0079 - val_loss: 1.1882e-04 - val_mean_absolute_error: 0.0085
Epoch 29/100
  1/126 [..............................] - ETA: 0s - loss: 1.1556e-04 - mean_absolute_error: 0.0090 22/126 [====>.........................] - ETA: 0s - loss: 1.1360e-04 - mean_absolute_error: 0.0079 43/126 [=========>....................] - ETA: 0s - loss: 1.0414e-04 - mean_absolute_error: 0.0077 63/126 [==============>...............] - ETA: 0s - loss: 1.0649e-04 - mean_absolute_error: 0.0078 84/126 [===================>..........] - ETA: 0s - loss: 1.0807e-04 - mean_absolute_error: 0.0079104/126 [=======================>......] - ETA: 0s - loss: 1.0901e-04 - mean_absolute_error: 0.0079124/126 [============================>.] - ETA: 0s - loss: 1.0654e-04 - mean_absolute_error: 0.0078126/126 [==============================] - 0s 3ms/step - loss: 1.0689e-04 - mean_absolute_error: 0.0078 - val_loss: 1.2743e-04 - val_mean_absolute_error: 0.0090
Epoch 30/100
  1/126 [..............................] - ETA: 0s - loss: 1.1184e-04 - mean_absolute_error: 0.0084 21/126 [====>.........................] - ETA: 0s - loss: 1.0368e-04 - mean_absolute_error: 0.0078 42/126 [=========>....................] - ETA: 0s - loss: 1.0332e-04 - mean_absolute_error: 0.0079 63/126 [==============>...............] - ETA: 0s - loss: 1.0602e-04 - mean_absolute_error: 0.0079 83/126 [==================>...........] - ETA: 0s - loss: 1.0383e-04 - mean_absolute_error: 0.0078104/126 [=======================>......] - ETA: 0s - loss: 1.0734e-04 - mean_absolute_error: 0.0079123/126 [============================>.] - ETA: 0s - loss: 1.0898e-04 - mean_absolute_error: 0.0080126/126 [==============================] - 0s 3ms/step - loss: 1.0874e-04 - mean_absolute_error: 0.0080 - val_loss: 1.1213e-04 - val_mean_absolute_error: 0.0083
Epoch 31/100
  1/126 [..............................] - ETA: 0s - loss: 8.0893e-05 - mean_absolute_error: 0.0070 19/126 [===>..........................] - ETA: 0s - loss: 8.9110e-05 - mean_absolute_error: 0.0072 37/126 [=======>......................] - ETA: 0s - loss: 9.7465e-05 - mean_absolute_error: 0.0076 55/126 [============>.................] - ETA: 0s - loss: 1.0185e-04 - mean_absolute_error: 0.0078 73/126 [================>.............] - ETA: 0s - loss: 1.0558e-04 - mean_absolute_error: 0.0079 90/126 [====================>.........] - ETA: 0s - loss: 1.0659e-04 - mean_absolute_error: 0.0079107/126 [========================>.....] - ETA: 0s - loss: 1.0685e-04 - mean_absolute_error: 0.0079124/126 [============================>.] - ETA: 0s - loss: 1.0886e-04 - mean_absolute_error: 0.0080126/126 [==============================] - 0s 3ms/step - loss: 1.0876e-04 - mean_absolute_error: 0.0080 - val_loss: 1.3490e-04 - val_mean_absolute_error: 0.0093
Epoch 32/100
  1/126 [..............................] - ETA: 0s - loss: 8.5625e-05 - mean_absolute_error: 0.0067 18/126 [===>..........................] - ETA: 0s - loss: 1.2516e-04 - mean_absolute_error: 0.0084 35/126 [=======>......................] - ETA: 0s - loss: 1.2551e-04 - mean_absolute_error: 0.0086 52/126 [===========>..................] - ETA: 0s - loss: 1.2433e-04 - mean_absolute_error: 0.0085 69/126 [===============>..............] - ETA: 0s - loss: 1.3251e-04 - mean_absolute_error: 0.0089 86/126 [===================>..........] - ETA: 0s - loss: 1.2915e-04 - mean_absolute_error: 0.0088102/126 [=======================>......] - ETA: 0s - loss: 1.3044e-04 - mean_absolute_error: 0.0088119/126 [===========================>..] - ETA: 0s - loss: 1.2591e-04 - mean_absolute_error: 0.0086126/126 [==============================] - 0s 3ms/step - loss: 1.2655e-04 - mean_absolute_error: 0.0086 - val_loss: 2.2375e-04 - val_mean_absolute_error: 0.0125
Epoch 33/100
  1/126 [..............................] - ETA: 0s - loss: 2.1302e-04 - mean_absolute_error: 0.0116 18/126 [===>..........................] - ETA: 0s - loss: 1.6982e-04 - mean_absolute_error: 0.0104 36/126 [=======>......................] - ETA: 0s - loss: 1.8666e-04 - mean_absolute_error: 0.0109 53/126 [===========>..................] - ETA: 0s - loss: 1.7173e-04 - mean_absolute_error: 0.0104 70/126 [===============>..............] - ETA: 0s - loss: 1.7022e-04 - mean_absolute_error: 0.0103 88/126 [===================>..........] - ETA: 0s - loss: 1.6451e-04 - mean_absolute_error: 0.0101106/126 [========================>.....] - ETA: 0s - loss: 1.5788e-04 - mean_absolute_error: 0.0098124/126 [============================>.] - ETA: 0s - loss: 1.4947e-04 - mean_absolute_error: 0.0095126/126 [==============================] - 0s 3ms/step - loss: 1.4991e-04 - mean_absolute_error: 0.0095 - val_loss: 1.1306e-04 - val_mean_absolute_error: 0.0082
Epoch 34/100
  1/126 [..............................] - ETA: 0s - loss: 1.2021e-04 - mean_absolute_error: 0.0084 18/126 [===>..........................] - ETA: 0s - loss: 1.0605e-04 - mean_absolute_error: 0.0078 35/126 [=======>......................] - ETA: 0s - loss: 1.0731e-04 - mean_absolute_error: 0.0078 53/126 [===========>..................] - ETA: 0s - loss: 1.1083e-04 - mean_absolute_error: 0.0079 70/126 [===============>..............] - ETA: 0s - loss: 1.1671e-04 - mean_absolute_error: 0.0082 86/126 [===================>..........] - ETA: 0s - loss: 1.1383e-04 - mean_absolute_error: 0.0082103/126 [=======================>......] - ETA: 0s - loss: 1.1379e-04 - mean_absolute_error: 0.0081121/126 [===========================>..] - ETA: 0s - loss: 1.1444e-04 - mean_absolute_error: 0.0082126/126 [==============================] - 0s 3ms/step - loss: 1.1419e-04 - mean_absolute_error: 0.0082 - val_loss: 1.1487e-04 - val_mean_absolute_error: 0.0084
Epoch 35/100
  1/126 [..............................] - ETA: 0s - loss: 1.9222e-04 - mean_absolute_error: 0.0083 20/126 [===>..........................] - ETA: 0s - loss: 1.0728e-04 - mean_absolute_error: 0.0078 38/126 [========>.....................] - ETA: 0s - loss: 1.1402e-04 - mean_absolute_error: 0.0080 56/126 [============>.................] - ETA: 0s - loss: 1.1643e-04 - mean_absolute_error: 0.0082 74/126 [================>.............] - ETA: 0s - loss: 1.1337e-04 - mean_absolute_error: 0.0082 92/126 [====================>.........] - ETA: 0s - loss: 1.1281e-04 - mean_absolute_error: 0.0081109/126 [========================>.....] - ETA: 0s - loss: 1.1181e-04 - mean_absolute_error: 0.0080126/126 [==============================] - ETA: 0s - loss: 1.1186e-04 - mean_absolute_error: 0.0081126/126 [==============================] - 0s 3ms/step - loss: 1.1186e-04 - mean_absolute_error: 0.0081 - val_loss: 1.6039e-04 - val_mean_absolute_error: 0.0102
Epoch 36/100
  1/126 [..............................] - ETA: 0s - loss: 1.5080e-04 - mean_absolute_error: 0.0083 18/126 [===>..........................] - ETA: 0s - loss: 1.1002e-04 - mean_absolute_error: 0.0080 36/126 [=======>......................] - ETA: 0s - loss: 1.0684e-04 - mean_absolute_error: 0.0078 54/126 [===========>..................] - ETA: 0s - loss: 1.1010e-04 - mean_absolute_error: 0.0079 72/126 [================>.............] - ETA: 0s - loss: 1.0778e-04 - mean_absolute_error: 0.0078 89/126 [====================>.........] - ETA: 0s - loss: 1.0900e-04 - mean_absolute_error: 0.0079107/126 [========================>.....] - ETA: 0s - loss: 1.1637e-04 - mean_absolute_error: 0.0082125/126 [============================>.] - ETA: 0s - loss: 1.1664e-04 - mean_absolute_error: 0.0082126/126 [==============================] - 0s 3ms/step - loss: 1.1666e-04 - mean_absolute_error: 0.0082 - val_loss: 1.1682e-04 - val_mean_absolute_error: 0.0084
Epoch 37/100
  1/126 [..............................] - ETA: 0s - loss: 8.2126e-05 - mean_absolute_error: 0.0076 17/126 [===>..........................] - ETA: 0s - loss: 1.0282e-04 - mean_absolute_error: 0.0075 32/126 [======>.......................] - ETA: 0s - loss: 1.0172e-04 - mean_absolute_error: 0.0077 50/126 [==========>...................] - ETA: 0s - loss: 1.2904e-04 - mean_absolute_error: 0.0086 67/126 [==============>...............] - ETA: 0s - loss: 1.2948e-04 - mean_absolute_error: 0.0087 83/126 [==================>...........] - ETA: 0s - loss: 1.2507e-04 - mean_absolute_error: 0.0085100/126 [======================>.......] - ETA: 0s - loss: 1.2097e-04 - mean_absolute_error: 0.0084117/126 [==========================>...] - ETA: 0s - loss: 1.1907e-04 - mean_absolute_error: 0.0083126/126 [==============================] - 0s 3ms/step - loss: 1.2006e-04 - mean_absolute_error: 0.0084 - val_loss: 1.3985e-04 - val_mean_absolute_error: 0.0095
Epoch 38/100
  1/126 [..............................] - ETA: 0s - loss: 8.1872e-05 - mean_absolute_error: 0.0062 19/126 [===>..........................] - ETA: 0s - loss: 1.0998e-04 - mean_absolute_error: 0.0082 36/126 [=======>......................] - ETA: 0s - loss: 1.4112e-04 - mean_absolute_error: 0.0093 54/126 [===========>..................] - ETA: 0s - loss: 1.3595e-04 - mean_absolute_error: 0.0090 71/126 [===============>..............] - ETA: 0s - loss: 1.3128e-04 - mean_absolute_error: 0.0088 88/126 [===================>..........] - ETA: 0s - loss: 1.2777e-04 - mean_absolute_error: 0.0088105/126 [========================>.....] - ETA: 0s - loss: 1.2839e-04 - mean_absolute_error: 0.0088122/126 [============================>.] - ETA: 0s - loss: 1.2706e-04 - mean_absolute_error: 0.0087126/126 [==============================] - 0s 3ms/step - loss: 1.2644e-04 - mean_absolute_error: 0.0087 - val_loss: 1.0929e-04 - val_mean_absolute_error: 0.0080
Epoch 39/100
  1/126 [..............................] - ETA: 0s - loss: 5.1663e-05 - mean_absolute_error: 0.0056 17/126 [===>..........................] - ETA: 0s - loss: 1.0133e-04 - mean_absolute_error: 0.0076 31/126 [======>.......................] - ETA: 0s - loss: 1.0539e-04 - mean_absolute_error: 0.0076 43/126 [=========>....................] - ETA: 0s - loss: 1.1540e-04 - mean_absolute_error: 0.0081 57/126 [============>.................] - ETA: 0s - loss: 1.2569e-04 - mean_absolute_error: 0.0085 71/126 [===============>..............] - ETA: 0s - loss: 1.2197e-04 - mean_absolute_error: 0.0085 85/126 [===================>..........] - ETA: 0s - loss: 1.1988e-04 - mean_absolute_error: 0.0083 99/126 [======================>.......] - ETA: 0s - loss: 1.1896e-04 - mean_absolute_error: 0.0083109/126 [========================>.....] - ETA: 0s - loss: 1.1671e-04 - mean_absolute_error: 0.0083124/126 [============================>.] - ETA: 0s - loss: 1.1495e-04 - mean_absolute_error: 0.0082126/126 [==============================] - 1s 4ms/step - loss: 1.1526e-04 - mean_absolute_error: 0.0082 - val_loss: 2.1029e-04 - val_mean_absolute_error: 0.0118
Epoch 40/100
  1/126 [..............................] - ETA: 0s - loss: 2.7374e-04 - mean_absolute_error: 0.0144 19/126 [===>..........................] - ETA: 0s - loss: 1.2252e-04 - mean_absolute_error: 0.0083 37/126 [=======>......................] - ETA: 0s - loss: 1.3166e-04 - mean_absolute_error: 0.0087 55/126 [============>.................] - ETA: 0s - loss: 1.2941e-04 - mean_absolute_error: 0.0087 73/126 [================>.............] - ETA: 0s - loss: 1.2091e-04 - mean_absolute_error: 0.0084 91/126 [====================>.........] - ETA: 0s - loss: 1.1817e-04 - mean_absolute_error: 0.0083109/126 [========================>.....] - ETA: 0s - loss: 1.2202e-04 - mean_absolute_error: 0.0085126/126 [==============================] - 0s 3ms/step - loss: 1.2364e-04 - mean_absolute_error: 0.0086 - val_loss: 3.2485e-04 - val_mean_absolute_error: 0.0154
Epoch 41/100
  1/126 [..............................] - ETA: 0s - loss: 3.3520e-04 - mean_absolute_error: 0.0164 15/126 [==>...........................] - ETA: 0s - loss: 1.7361e-04 - mean_absolute_error: 0.0105 29/126 [=====>........................] - ETA: 0s - loss: 1.5473e-04 - mean_absolute_error: 0.0098 42/126 [=========>....................] - ETA: 0s - loss: 1.3794e-04 - mean_absolute_error: 0.0092 57/126 [============>.................] - ETA: 0s - loss: 1.3791e-04 - mean_absolute_error: 0.0092 75/126 [================>.............] - ETA: 0s - loss: 1.2993e-04 - mean_absolute_error: 0.0089 94/126 [=====================>........] - ETA: 0s - loss: 1.3008e-04 - mean_absolute_error: 0.0089113/126 [=========================>....] - ETA: 0s - loss: 1.2977e-04 - mean_absolute_error: 0.0088126/126 [==============================] - 0s 4ms/step - loss: 1.2845e-04 - mean_absolute_error: 0.0088 - val_loss: 2.5456e-04 - val_mean_absolute_error: 0.0135
Epoch 42/100
  1/126 [..............................] - ETA: 0s - loss: 1.3564e-04 - mean_absolute_error: 0.0090 21/126 [====>.........................] - ETA: 0s - loss: 1.3599e-04 - mean_absolute_error: 0.0089 41/126 [========>.....................] - ETA: 0s - loss: 1.2434e-04 - mean_absolute_error: 0.0084 61/126 [=============>................] - ETA: 0s - loss: 1.1465e-04 - mean_absolute_error: 0.0081 81/126 [==================>...........] - ETA: 0s - loss: 1.1328e-04 - mean_absolute_error: 0.0081102/126 [=======================>......] - ETA: 0s - loss: 1.1279e-04 - mean_absolute_error: 0.0081123/126 [============================>.] - ETA: 0s - loss: 1.1101e-04 - mean_absolute_error: 0.0080126/126 [==============================] - 0s 3ms/step - loss: 1.1200e-04 - mean_absolute_error: 0.0081 - val_loss: 2.7870e-04 - val_mean_absolute_error: 0.0142
Epoch 43/100
  1/126 [..............................] - ETA: 0s - loss: 2.0921e-04 - mean_absolute_error: 0.0126 22/126 [====>.........................] - ETA: 0s - loss: 2.1310e-04 - mean_absolute_error: 0.0117 43/126 [=========>....................] - ETA: 0s - loss: 1.7381e-04 - mean_absolute_error: 0.0104 64/126 [==============>...............] - ETA: 0s - loss: 1.5673e-04 - mean_absolute_error: 0.0097 85/126 [===================>..........] - ETA: 0s - loss: 1.4289e-04 - mean_absolute_error: 0.0092106/126 [========================>.....] - ETA: 0s - loss: 1.3653e-04 - mean_absolute_error: 0.0089126/126 [==============================] - ETA: 0s - loss: 1.3251e-04 - mean_absolute_error: 0.0088126/126 [==============================] - 0s 3ms/step - loss: 1.3251e-04 - mean_absolute_error: 0.0088 - val_loss: 1.2931e-04 - val_mean_absolute_error: 0.0091
Epoch 44/100
  1/126 [..............................] - ETA: 0s - loss: 1.1536e-04 - mean_absolute_error: 0.0074 22/126 [====>.........................] - ETA: 0s - loss: 1.0934e-04 - mean_absolute_error: 0.0079 42/126 [=========>....................] - ETA: 0s - loss: 1.1828e-04 - mean_absolute_error: 0.0083 62/126 [=============>................] - ETA: 0s - loss: 1.1860e-04 - mean_absolute_error: 0.0083 83/126 [==================>...........] - ETA: 0s - loss: 1.0999e-04 - mean_absolute_error: 0.0080103/126 [=======================>......] - ETA: 0s - loss: 1.1253e-04 - mean_absolute_error: 0.0080124/126 [============================>.] - ETA: 0s - loss: 1.1406e-04 - mean_absolute_error: 0.0081126/126 [==============================] - 0s 3ms/step - loss: 1.1409e-04 - mean_absolute_error: 0.0081 - val_loss: 1.8539e-04 - val_mean_absolute_error: 0.0112
Epoch 45/100
  1/126 [..............................] - ETA: 0s - loss: 1.5585e-04 - mean_absolute_error: 0.0094 22/126 [====>.........................] - ETA: 0s - loss: 1.2366e-04 - mean_absolute_error: 0.0086 43/126 [=========>....................] - ETA: 0s - loss: 1.1508e-04 - mean_absolute_error: 0.0080 64/126 [==============>...............] - ETA: 0s - loss: 1.1135e-04 - mean_absolute_error: 0.0079 85/126 [===================>..........] - ETA: 0s - loss: 1.0982e-04 - mean_absolute_error: 0.0079106/126 [========================>.....] - ETA: 0s - loss: 1.0844e-04 - mean_absolute_error: 0.0079126/126 [==============================] - 0s 3ms/step - loss: 1.0857e-04 - mean_absolute_error: 0.0079 - val_loss: 1.1229e-04 - val_mean_absolute_error: 0.0082
Epoch 46/100
  1/126 [..............................] - ETA: 0s - loss: 7.4692e-05 - mean_absolute_error: 0.0070 21/126 [====>.........................] - ETA: 0s - loss: 1.3659e-04 - mean_absolute_error: 0.0090 42/126 [=========>....................] - ETA: 0s - loss: 1.2349e-04 - mean_absolute_error: 0.0086 63/126 [==============>...............] - ETA: 0s - loss: 1.1461e-04 - mean_absolute_error: 0.0083 84/126 [===================>..........] - ETA: 0s - loss: 1.1469e-04 - mean_absolute_error: 0.0082105/126 [========================>.....] - ETA: 0s - loss: 1.1771e-04 - mean_absolute_error: 0.0083126/126 [==============================] - ETA: 0s - loss: 1.2628e-04 - mean_absolute_error: 0.0087126/126 [==============================] - 0s 3ms/step - loss: 1.2628e-04 - mean_absolute_error: 0.0087 - val_loss: 1.1828e-04 - val_mean_absolute_error: 0.0086
Epoch 47/100
  1/126 [..............................] - ETA: 0s - loss: 8.0236e-05 - mean_absolute_error: 0.0073 22/126 [====>.........................] - ETA: 0s - loss: 1.0032e-04 - mean_absolute_error: 0.0078 43/126 [=========>....................] - ETA: 0s - loss: 1.0539e-04 - mean_absolute_error: 0.0079 65/126 [==============>...............] - ETA: 0s - loss: 1.0791e-04 - mean_absolute_error: 0.0079 86/126 [===================>..........] - ETA: 0s - loss: 1.0655e-04 - mean_absolute_error: 0.0080106/126 [========================>.....] - ETA: 0s - loss: 1.0888e-04 - mean_absolute_error: 0.0080126/126 [==============================] - 0s 3ms/step - loss: 1.1424e-04 - mean_absolute_error: 0.0082 - val_loss: 1.8934e-04 - val_mean_absolute_error: 0.0111
Epoch 48/100
  1/126 [..............................] - ETA: 0s - loss: 1.7084e-04 - mean_absolute_error: 0.0114 22/126 [====>.........................] - ETA: 0s - loss: 1.4178e-04 - mean_absolute_error: 0.0094 42/126 [=========>....................] - ETA: 0s - loss: 1.3528e-04 - mean_absolute_error: 0.0090 63/126 [==============>...............] - ETA: 0s - loss: 1.2684e-04 - mean_absolute_error: 0.0087 84/126 [===================>..........] - ETA: 0s - loss: 1.2071e-04 - mean_absolute_error: 0.0084105/126 [========================>.....] - ETA: 0s - loss: 1.1664e-04 - mean_absolute_error: 0.0083125/126 [============================>.] - ETA: 0s - loss: 1.1301e-04 - mean_absolute_error: 0.0081126/126 [==============================] - 0s 3ms/step - loss: 1.1291e-04 - mean_absolute_error: 0.0081 - val_loss: 1.2274e-04 - val_mean_absolute_error: 0.0087
Epoch 49/100
  1/126 [..............................] - ETA: 0s - loss: 6.4768e-05 - mean_absolute_error: 0.0068 22/126 [====>.........................] - ETA: 0s - loss: 1.1285e-04 - mean_absolute_error: 0.0083 43/126 [=========>....................] - ETA: 0s - loss: 1.1443e-04 - mean_absolute_error: 0.0082 64/126 [==============>...............] - ETA: 0s - loss: 1.1094e-04 - mean_absolute_error: 0.0081 85/126 [===================>..........] - ETA: 0s - loss: 1.0896e-04 - mean_absolute_error: 0.0081106/126 [========================>.....] - ETA: 0s - loss: 1.0951e-04 - mean_absolute_error: 0.0080126/126 [==============================] - 0s 3ms/step - loss: 1.1096e-04 - mean_absolute_error: 0.0081 - val_loss: 1.3554e-04 - val_mean_absolute_error: 0.0092
Epoch 50/100
  1/126 [..............................] - ETA: 0s - loss: 1.4362e-04 - mean_absolute_error: 0.0100 21/126 [====>.........................] - ETA: 0s - loss: 1.1825e-04 - mean_absolute_error: 0.0084 42/126 [=========>....................] - ETA: 0s - loss: 1.1122e-04 - mean_absolute_error: 0.0082 63/126 [==============>...............] - ETA: 0s - loss: 1.0832e-04 - mean_absolute_error: 0.0080 81/126 [==================>...........] - ETA: 0s - loss: 1.1227e-04 - mean_absolute_error: 0.0081 99/126 [======================>.......] - ETA: 0s - loss: 1.1435e-04 - mean_absolute_error: 0.0082117/126 [==========================>...] - ETA: 0s - loss: 1.1255e-04 - mean_absolute_error: 0.0081126/126 [==============================] - 0s 3ms/step - loss: 1.1786e-04 - mean_absolute_error: 0.0083 - val_loss: 2.0597e-04 - val_mean_absolute_error: 0.0119
Epoch 51/100
  1/126 [..............................] - ETA: 0s - loss: 1.5007e-04 - mean_absolute_error: 0.0095 19/126 [===>..........................] - ETA: 0s - loss: 1.6572e-04 - mean_absolute_error: 0.0101 37/126 [=======>......................] - ETA: 0s - loss: 1.5097e-04 - mean_absolute_error: 0.0096 54/126 [===========>..................] - ETA: 0s - loss: 1.5160e-04 - mean_absolute_error: 0.0095 72/126 [================>.............] - ETA: 0s - loss: 1.4699e-04 - mean_absolute_error: 0.0094 89/126 [====================>.........] - ETA: 0s - loss: 1.3708e-04 - mean_absolute_error: 0.0091105/126 [========================>.....] - ETA: 0s - loss: 1.3094e-04 - mean_absolute_error: 0.0088122/126 [============================>.] - ETA: 0s - loss: 1.2670e-04 - mean_absolute_error: 0.0087126/126 [==============================] - 0s 3ms/step - loss: 1.2610e-04 - mean_absolute_error: 0.0087 - val_loss: 1.0663e-04 - val_mean_absolute_error: 0.0080
Epoch 52/100
  1/126 [..............................] - ETA: 0s - loss: 8.8847e-05 - mean_absolute_error: 0.0073 20/126 [===>..........................] - ETA: 0s - loss: 1.6200e-04 - mean_absolute_error: 0.0101 39/126 [========>.....................] - ETA: 0s - loss: 1.5971e-04 - mean_absolute_error: 0.0099 57/126 [============>.................] - ETA: 0s - loss: 1.3909e-04 - mean_absolute_error: 0.0091 76/126 [=================>............] - ETA: 0s - loss: 1.3701e-04 - mean_absolute_error: 0.0091 96/126 [=====================>........] - ETA: 0s - loss: 1.3870e-04 - mean_absolute_error: 0.0091116/126 [==========================>...] - ETA: 0s - loss: 1.3738e-04 - mean_absolute_error: 0.0091126/126 [==============================] - 0s 3ms/step - loss: 1.3455e-04 - mean_absolute_error: 0.0090 - val_loss: 1.1103e-04 - val_mean_absolute_error: 0.0083
Epoch 53/100
  1/126 [..............................] - ETA: 0s - loss: 4.0859e-05 - mean_absolute_error: 0.0049 21/126 [====>.........................] - ETA: 0s - loss: 1.2128e-04 - mean_absolute_error: 0.0083 42/126 [=========>....................] - ETA: 0s - loss: 1.0889e-04 - mean_absolute_error: 0.0079 63/126 [==============>...............] - ETA: 0s - loss: 1.0892e-04 - mean_absolute_error: 0.0079 83/126 [==================>...........] - ETA: 0s - loss: 1.0802e-04 - mean_absolute_error: 0.0080104/126 [=======================>......] - ETA: 0s - loss: 1.1301e-04 - mean_absolute_error: 0.0082124/126 [============================>.] - ETA: 0s - loss: 1.1277e-04 - mean_absolute_error: 0.0082126/126 [==============================] - 0s 3ms/step - loss: 1.1281e-04 - mean_absolute_error: 0.0082 - val_loss: 3.1077e-04 - val_mean_absolute_error: 0.0150
Epoch 54/100
  1/126 [..............................] - ETA: 0s - loss: 2.6683e-04 - mean_absolute_error: 0.0141 22/126 [====>.........................] - ETA: 0s - loss: 2.0834e-04 - mean_absolute_error: 0.0117 43/126 [=========>....................] - ETA: 0s - loss: 1.8356e-04 - mean_absolute_error: 0.0107 64/126 [==============>...............] - ETA: 0s - loss: 1.6739e-04 - mean_absolute_error: 0.0101 85/126 [===================>..........] - ETA: 0s - loss: 1.5335e-04 - mean_absolute_error: 0.0096106/126 [========================>.....] - ETA: 0s - loss: 1.4474e-04 - mean_absolute_error: 0.0093126/126 [==============================] - ETA: 0s - loss: 1.3612e-04 - mean_absolute_error: 0.0090126/126 [==============================] - 0s 3ms/step - loss: 1.3612e-04 - mean_absolute_error: 0.0090 - val_loss: 1.0688e-04 - val_mean_absolute_error: 0.0079
Epoch 55/100
  1/126 [..............................] - ETA: 0s - loss: 9.7417e-05 - mean_absolute_error: 0.0088 22/126 [====>.........................] - ETA: 0s - loss: 1.0659e-04 - mean_absolute_error: 0.0081 42/126 [=========>....................] - ETA: 0s - loss: 1.0451e-04 - mean_absolute_error: 0.0079 63/126 [==============>...............] - ETA: 0s - loss: 1.0282e-04 - mean_absolute_error: 0.0077 84/126 [===================>..........] - ETA: 0s - loss: 1.0213e-04 - mean_absolute_error: 0.0077104/126 [=======================>......] - ETA: 0s - loss: 1.0348e-04 - mean_absolute_error: 0.0078124/126 [============================>.] - ETA: 0s - loss: 1.0493e-04 - mean_absolute_error: 0.0078126/126 [==============================] - 0s 3ms/step - loss: 1.0469e-04 - mean_absolute_error: 0.0078 - val_loss: 1.2286e-04 - val_mean_absolute_error: 0.0087
Epoch 56/100
  1/126 [..............................] - ETA: 0s - loss: 1.4507e-04 - mean_absolute_error: 0.0094 21/126 [====>.........................] - ETA: 0s - loss: 1.0358e-04 - mean_absolute_error: 0.0079 42/126 [=========>....................] - ETA: 0s - loss: 1.0505e-04 - mean_absolute_error: 0.0079 63/126 [==============>...............] - ETA: 0s - loss: 1.0165e-04 - mean_absolute_error: 0.0077 84/126 [===================>..........] - ETA: 0s - loss: 1.0132e-04 - mean_absolute_error: 0.0078104/126 [=======================>......] - ETA: 0s - loss: 1.0078e-04 - mean_absolute_error: 0.0078125/126 [============================>.] - ETA: 0s - loss: 1.0749e-04 - mean_absolute_error: 0.0080126/126 [==============================] - 0s 3ms/step - loss: 1.0772e-04 - mean_absolute_error: 0.0080 - val_loss: 1.2665e-04 - val_mean_absolute_error: 0.0088
Epoch 57/100
  1/126 [..............................] - ETA: 0s - loss: 1.1632e-04 - mean_absolute_error: 0.0085 22/126 [====>.........................] - ETA: 0s - loss: 1.3683e-04 - mean_absolute_error: 0.0090 43/126 [=========>....................] - ETA: 0s - loss: 1.3615e-04 - mean_absolute_error: 0.0090 64/126 [==============>...............] - ETA: 0s - loss: 1.4533e-04 - mean_absolute_error: 0.0094 85/126 [===================>..........] - ETA: 0s - loss: 1.4376e-04 - mean_absolute_error: 0.0093106/126 [========================>.....] - ETA: 0s - loss: 1.3579e-04 - mean_absolute_error: 0.0090126/126 [==============================] - 0s 3ms/step - loss: 1.2880e-04 - mean_absolute_error: 0.0087 - val_loss: 1.8014e-04 - val_mean_absolute_error: 0.0108
Epoch 58/100
  1/126 [..............................] - ETA: 0s - loss: 1.1429e-04 - mean_absolute_error: 0.0087 22/126 [====>.........................] - ETA: 0s - loss: 1.0666e-04 - mean_absolute_error: 0.0080 43/126 [=========>....................] - ETA: 0s - loss: 1.0483e-04 - mean_absolute_error: 0.0077 64/126 [==============>...............] - ETA: 0s - loss: 9.8561e-05 - mean_absolute_error: 0.0075 85/126 [===================>..........] - ETA: 0s - loss: 1.0596e-04 - mean_absolute_error: 0.0079106/126 [========================>.....] - ETA: 0s - loss: 1.1318e-04 - mean_absolute_error: 0.0082126/126 [==============================] - 0s 3ms/step - loss: 1.1833e-04 - mean_absolute_error: 0.0083 - val_loss: 1.5130e-04 - val_mean_absolute_error: 0.0098
Epoch 59/100
  1/126 [..............................] - ETA: 0s - loss: 8.8706e-05 - mean_absolute_error: 0.0081 22/126 [====>.........................] - ETA: 0s - loss: 1.2088e-04 - mean_absolute_error: 0.0087 43/126 [=========>....................] - ETA: 0s - loss: 1.2998e-04 - mean_absolute_error: 0.0089 64/126 [==============>...............] - ETA: 0s - loss: 1.2969e-04 - mean_absolute_error: 0.0089 85/126 [===================>..........] - ETA: 0s - loss: 1.2760e-04 - mean_absolute_error: 0.0088105/126 [========================>.....] - ETA: 0s - loss: 1.2299e-04 - mean_absolute_error: 0.0086125/126 [============================>.] - ETA: 0s - loss: 1.1959e-04 - mean_absolute_error: 0.0085126/126 [==============================] - 0s 3ms/step - loss: 1.1944e-04 - mean_absolute_error: 0.0085 - val_loss: 1.0728e-04 - val_mean_absolute_error: 0.0081
Epoch 60/100
  1/126 [..............................] - ETA: 0s - loss: 1.3714e-04 - mean_absolute_error: 0.0076 22/126 [====>.........................] - ETA: 0s - loss: 1.0398e-04 - mean_absolute_error: 0.0077 43/126 [=========>....................] - ETA: 0s - loss: 1.3303e-04 - mean_absolute_error: 0.0090 64/126 [==============>...............] - ETA: 0s - loss: 1.4510e-04 - mean_absolute_error: 0.0095 85/126 [===================>..........] - ETA: 0s - loss: 1.3226e-04 - mean_absolute_error: 0.0090106/126 [========================>.....] - ETA: 0s - loss: 1.2699e-04 - mean_absolute_error: 0.0087126/126 [==============================] - ETA: 0s - loss: 1.2270e-04 - mean_absolute_error: 0.0085126/126 [==============================] - 0s 3ms/step - loss: 1.2270e-04 - mean_absolute_error: 0.0085 - val_loss: 1.5810e-04 - val_mean_absolute_error: 0.0102
Epoch 61/100
  1/126 [..............................] - ETA: 0s - loss: 1.2113e-04 - mean_absolute_error: 0.0086 22/126 [====>.........................] - ETA: 0s - loss: 1.3133e-04 - mean_absolute_error: 0.0089 43/126 [=========>....................] - ETA: 0s - loss: 1.2993e-04 - mean_absolute_error: 0.0089 64/126 [==============>...............] - ETA: 0s - loss: 1.2687e-04 - mean_absolute_error: 0.0087 85/126 [===================>..........] - ETA: 0s - loss: 1.2186e-04 - mean_absolute_error: 0.0085106/126 [========================>.....] - ETA: 0s - loss: 1.1546e-04 - mean_absolute_error: 0.0083126/126 [==============================] - 0s 3ms/step - loss: 1.1613e-04 - mean_absolute_error: 0.0083 - val_loss: 1.9923e-04 - val_mean_absolute_error: 0.0117
Epoch 62/100
  1/126 [..............................] - ETA: 0s - loss: 1.1420e-04 - mean_absolute_error: 0.0090 22/126 [====>.........................] - ETA: 0s - loss: 1.4724e-04 - mean_absolute_error: 0.0092 43/126 [=========>....................] - ETA: 0s - loss: 1.2731e-04 - mean_absolute_error: 0.0085 64/126 [==============>...............] - ETA: 0s - loss: 1.1785e-04 - mean_absolute_error: 0.0083 85/126 [===================>..........] - ETA: 0s - loss: 1.1052e-04 - mean_absolute_error: 0.0080106/126 [========================>.....] - ETA: 0s - loss: 1.1074e-04 - mean_absolute_error: 0.0080126/126 [==============================] - 0s 3ms/step - loss: 1.1215e-04 - mean_absolute_error: 0.0081 - val_loss: 1.9087e-04 - val_mean_absolute_error: 0.0112
Epoch 63/100
  1/126 [..............................] - ETA: 0s - loss: 2.0599e-04 - mean_absolute_error: 0.0122 22/126 [====>.........................] - ETA: 0s - loss: 1.4263e-04 - mean_absolute_error: 0.0094 43/126 [=========>....................] - ETA: 0s - loss: 1.2888e-04 - mean_absolute_error: 0.0088 64/126 [==============>...............] - ETA: 0s - loss: 1.2981e-04 - mean_absolute_error: 0.0088 84/126 [===================>..........] - ETA: 0s - loss: 1.2517e-04 - mean_absolute_error: 0.0087105/126 [========================>.....] - ETA: 0s - loss: 1.4218e-04 - mean_absolute_error: 0.0093126/126 [==============================] - ETA: 0s - loss: 1.3790e-04 - mean_absolute_error: 0.0091126/126 [==============================] - 0s 3ms/step - loss: 1.3790e-04 - mean_absolute_error: 0.0091 - val_loss: 1.2231e-04 - val_mean_absolute_error: 0.0088
Epoch 64/100
  1/126 [..............................] - ETA: 0s - loss: 6.5547e-05 - mean_absolute_error: 0.0063 22/126 [====>.........................] - ETA: 0s - loss: 8.3831e-05 - mean_absolute_error: 0.0071 43/126 [=========>....................] - ETA: 0s - loss: 9.2433e-05 - mean_absolute_error: 0.0074 64/126 [==============>...............] - ETA: 0s - loss: 1.0204e-04 - mean_absolute_error: 0.0077 85/126 [===================>..........] - ETA: 0s - loss: 1.1071e-04 - mean_absolute_error: 0.0081106/126 [========================>.....] - ETA: 0s - loss: 1.0897e-04 - mean_absolute_error: 0.0080126/126 [==============================] - 0s 3ms/step - loss: 1.1390e-04 - mean_absolute_error: 0.0082 - val_loss: 1.0688e-04 - val_mean_absolute_error: 0.0081
Epoch 65/100
  1/126 [..............................] - ETA: 0s - loss: 6.3875e-05 - mean_absolute_error: 0.0061 22/126 [====>.........................] - ETA: 0s - loss: 1.1256e-04 - mean_absolute_error: 0.0077 43/126 [=========>....................] - ETA: 0s - loss: 9.7870e-05 - mean_absolute_error: 0.0073 64/126 [==============>...............] - ETA: 0s - loss: 9.5076e-05 - mean_absolute_error: 0.0073 85/126 [===================>..........] - ETA: 0s - loss: 9.7158e-05 - mean_absolute_error: 0.0073106/126 [========================>.....] - ETA: 0s - loss: 9.5586e-05 - mean_absolute_error: 0.0074126/126 [==============================] - ETA: 0s - loss: 9.9390e-05 - mean_absolute_error: 0.0075126/126 [==============================] - 0s 3ms/step - loss: 9.9390e-05 - mean_absolute_error: 0.0075 - val_loss: 1.1826e-04 - val_mean_absolute_error: 0.0085
Epoch 66/100
  1/126 [..............................] - ETA: 0s - loss: 7.5968e-05 - mean_absolute_error: 0.0070 22/126 [====>.........................] - ETA: 0s - loss: 1.2372e-04 - mean_absolute_error: 0.0083 43/126 [=========>....................] - ETA: 0s - loss: 1.1053e-04 - mean_absolute_error: 0.0080 63/126 [==============>...............] - ETA: 0s - loss: 1.0609e-04 - mean_absolute_error: 0.0078 83/126 [==================>...........] - ETA: 0s - loss: 1.0292e-04 - mean_absolute_error: 0.0077104/126 [=======================>......] - ETA: 0s - loss: 1.1253e-04 - mean_absolute_error: 0.0080124/126 [============================>.] - ETA: 0s - loss: 1.1538e-04 - mean_absolute_error: 0.0082126/126 [==============================] - 0s 3ms/step - loss: 1.1508e-04 - mean_absolute_error: 0.0082 - val_loss: 1.2063e-04 - val_mean_absolute_error: 0.0088
Epoch 67/100
  1/126 [..............................] - ETA: 0s - loss: 9.6540e-05 - mean_absolute_error: 0.0080 22/126 [====>.........................] - ETA: 0s - loss: 9.4563e-05 - mean_absolute_error: 0.0072 43/126 [=========>....................] - ETA: 0s - loss: 9.8812e-05 - mean_absolute_error: 0.0075 64/126 [==============>...............] - ETA: 0s - loss: 1.0038e-04 - mean_absolute_error: 0.0076 85/126 [===================>..........] - ETA: 0s - loss: 9.8249e-05 - mean_absolute_error: 0.0075106/126 [========================>.....] - ETA: 0s - loss: 1.0310e-04 - mean_absolute_error: 0.0077126/126 [==============================] - 0s 3ms/step - loss: 1.1050e-04 - mean_absolute_error: 0.0080 - val_loss: 1.8694e-04 - val_mean_absolute_error: 0.0113
Epoch 68/100
  1/126 [..............................] - ETA: 0s - loss: 1.4987e-04 - mean_absolute_error: 0.0096 22/126 [====>.........................] - ETA: 0s - loss: 1.4244e-04 - mean_absolute_error: 0.0091 43/126 [=========>....................] - ETA: 0s - loss: 1.2869e-04 - mean_absolute_error: 0.0088 64/126 [==============>...............] - ETA: 0s - loss: 1.2835e-04 - mean_absolute_error: 0.0088 85/126 [===================>..........] - ETA: 0s - loss: 1.2425e-04 - mean_absolute_error: 0.0086106/126 [========================>.....] - ETA: 0s - loss: 1.2299e-04 - mean_absolute_error: 0.0086126/126 [==============================] - ETA: 0s - loss: 1.2255e-04 - mean_absolute_error: 0.0086126/126 [==============================] - 0s 3ms/step - loss: 1.2255e-04 - mean_absolute_error: 0.0086 - val_loss: 1.1327e-04 - val_mean_absolute_error: 0.0084
Epoch 69/100
  1/126 [..............................] - ETA: 0s - loss: 1.0408e-04 - mean_absolute_error: 0.0080 22/126 [====>.........................] - ETA: 0s - loss: 9.0359e-05 - mean_absolute_error: 0.0073 43/126 [=========>....................] - ETA: 0s - loss: 1.0109e-04 - mean_absolute_error: 0.0077 64/126 [==============>...............] - ETA: 0s - loss: 1.1084e-04 - mean_absolute_error: 0.0081 85/126 [===================>..........] - ETA: 0s - loss: 1.2402e-04 - mean_absolute_error: 0.0086106/126 [========================>.....] - ETA: 0s - loss: 1.1714e-04 - mean_absolute_error: 0.0083126/126 [==============================] - 0s 3ms/step - loss: 1.1493e-04 - mean_absolute_error: 0.0083 - val_loss: 1.1329e-04 - val_mean_absolute_error: 0.0084
Epoch 70/100
  1/126 [..............................] - ETA: 0s - loss: 5.6848e-05 - mean_absolute_error: 0.0063 22/126 [====>.........................] - ETA: 0s - loss: 1.3746e-04 - mean_absolute_error: 0.0090 43/126 [=========>....................] - ETA: 0s - loss: 1.4225e-04 - mean_absolute_error: 0.0093 63/126 [==============>...............] - ETA: 0s - loss: 1.3274e-04 - mean_absolute_error: 0.0090 84/126 [===================>..........] - ETA: 0s - loss: 1.2842e-04 - mean_absolute_error: 0.0087104/126 [=======================>......] - ETA: 0s - loss: 1.1872e-04 - mean_absolute_error: 0.0084125/126 [============================>.] - ETA: 0s - loss: 1.2552e-04 - mean_absolute_error: 0.0086126/126 [==============================] - 0s 3ms/step - loss: 1.2584e-04 - mean_absolute_error: 0.0086 - val_loss: 1.1152e-04 - val_mean_absolute_error: 0.0083
Epoch 71/100
  1/126 [..............................] - ETA: 0s - loss: 8.7693e-05 - mean_absolute_error: 0.0074 22/126 [====>.........................] - ETA: 0s - loss: 1.4397e-04 - mean_absolute_error: 0.0094 43/126 [=========>....................] - ETA: 0s - loss: 1.2978e-04 - mean_absolute_error: 0.0089 64/126 [==============>...............] - ETA: 0s - loss: 1.3200e-04 - mean_absolute_error: 0.0090 85/126 [===================>..........] - ETA: 0s - loss: 1.4150e-04 - mean_absolute_error: 0.0093106/126 [========================>.....] - ETA: 0s - loss: 1.4286e-04 - mean_absolute_error: 0.0093126/126 [==============================] - 0s 3ms/step - loss: 1.3806e-04 - mean_absolute_error: 0.0092 - val_loss: 1.1511e-04 - val_mean_absolute_error: 0.0085
Epoch 72/100
  1/126 [..............................] - ETA: 0s - loss: 7.0298e-05 - mean_absolute_error: 0.0072 21/126 [====>.........................] - ETA: 0s - loss: 1.1721e-04 - mean_absolute_error: 0.0083 42/126 [=========>....................] - ETA: 0s - loss: 1.1498e-04 - mean_absolute_error: 0.0083 63/126 [==============>...............] - ETA: 0s - loss: 1.0889e-04 - mean_absolute_error: 0.0080 84/126 [===================>..........] - ETA: 0s - loss: 1.0845e-04 - mean_absolute_error: 0.0079105/126 [========================>.....] - ETA: 0s - loss: 1.1444e-04 - mean_absolute_error: 0.0082126/126 [==============================] - ETA: 0s - loss: 1.1545e-04 - mean_absolute_error: 0.0083126/126 [==============================] - 0s 3ms/step - loss: 1.1545e-04 - mean_absolute_error: 0.0083 - val_loss: 1.0302e-04 - val_mean_absolute_error: 0.0079
Epoch 73/100
  1/126 [..............................] - ETA: 0s - loss: 2.1025e-04 - mean_absolute_error: 0.0080 22/126 [====>.........................] - ETA: 0s - loss: 1.0563e-04 - mean_absolute_error: 0.0078 43/126 [=========>....................] - ETA: 0s - loss: 1.0802e-04 - mean_absolute_error: 0.0079 64/126 [==============>...............] - ETA: 0s - loss: 1.0516e-04 - mean_absolute_error: 0.0078 82/126 [==================>...........] - ETA: 0s - loss: 1.0765e-04 - mean_absolute_error: 0.0079101/126 [=======================>......] - ETA: 0s - loss: 1.0994e-04 - mean_absolute_error: 0.0080119/126 [===========================>..] - ETA: 0s - loss: 1.0490e-04 - mean_absolute_error: 0.0078126/126 [==============================] - 0s 3ms/step - loss: 1.0493e-04 - mean_absolute_error: 0.0078 - val_loss: 1.1361e-04 - val_mean_absolute_error: 0.0083
Epoch 74/100
  1/126 [..............................] - ETA: 0s - loss: 5.1408e-05 - mean_absolute_error: 0.0059 20/126 [===>..........................] - ETA: 0s - loss: 9.8494e-05 - mean_absolute_error: 0.0075 38/126 [========>.....................] - ETA: 0s - loss: 1.0252e-04 - mean_absolute_error: 0.0078 55/126 [============>.................] - ETA: 0s - loss: 9.6211e-05 - mean_absolute_error: 0.0076 73/126 [================>.............] - ETA: 0s - loss: 1.0236e-04 - mean_absolute_error: 0.0077 92/126 [====================>.........] - ETA: 0s - loss: 1.0363e-04 - mean_absolute_error: 0.0077111/126 [=========================>....] - ETA: 0s - loss: 1.0328e-04 - mean_absolute_error: 0.0077126/126 [==============================] - 0s 3ms/step - loss: 1.0148e-04 - mean_absolute_error: 0.0076 - val_loss: 1.1141e-04 - val_mean_absolute_error: 0.0083
Epoch 75/100
  1/126 [..............................] - ETA: 0s - loss: 8.0596e-05 - mean_absolute_error: 0.0071 19/126 [===>..........................] - ETA: 0s - loss: 1.1330e-04 - mean_absolute_error: 0.0083 38/126 [========>.....................] - ETA: 0s - loss: 1.1695e-04 - mean_absolute_error: 0.0084 57/126 [============>.................] - ETA: 0s - loss: 1.0998e-04 - mean_absolute_error: 0.0081 75/126 [================>.............] - ETA: 0s - loss: 1.0718e-04 - mean_absolute_error: 0.0080 93/126 [=====================>........] - ETA: 0s - loss: 1.0668e-04 - mean_absolute_error: 0.0080111/126 [=========================>....] - ETA: 0s - loss: 1.0659e-04 - mean_absolute_error: 0.0080126/126 [==============================] - 0s 3ms/step - loss: 1.0433e-04 - mean_absolute_error: 0.0078 - val_loss: 2.2343e-04 - val_mean_absolute_error: 0.0123
Epoch 76/100
  1/126 [..............................] - ETA: 0s - loss: 2.1239e-04 - mean_absolute_error: 0.0122 20/126 [===>..........................] - ETA: 0s - loss: 1.1469e-04 - mean_absolute_error: 0.0084 38/126 [========>.....................] - ETA: 0s - loss: 1.0998e-04 - mean_absolute_error: 0.0081 56/126 [============>.................] - ETA: 0s - loss: 1.0322e-04 - mean_absolute_error: 0.0078 73/126 [================>.............] - ETA: 0s - loss: 1.0275e-04 - mean_absolute_error: 0.0078 90/126 [====================>.........] - ETA: 0s - loss: 1.0886e-04 - mean_absolute_error: 0.0081108/126 [========================>.....] - ETA: 0s - loss: 1.1908e-04 - mean_absolute_error: 0.0084126/126 [==============================] - ETA: 0s - loss: 1.2539e-04 - mean_absolute_error: 0.0087126/126 [==============================] - 0s 3ms/step - loss: 1.2539e-04 - mean_absolute_error: 0.0087 - val_loss: 1.2020e-04 - val_mean_absolute_error: 0.0086
Epoch 77/100
  1/126 [..............................] - ETA: 0s - loss: 3.2380e-04 - mean_absolute_error: 0.0109 19/126 [===>..........................] - ETA: 0s - loss: 1.3551e-04 - mean_absolute_error: 0.0086 35/126 [=======>......................] - ETA: 0s - loss: 1.2040e-04 - mean_absolute_error: 0.0083 52/126 [===========>..................] - ETA: 0s - loss: 1.1333e-04 - mean_absolute_error: 0.0081 70/126 [===============>..............] - ETA: 0s - loss: 1.1449e-04 - mean_absolute_error: 0.0082 87/126 [===================>..........] - ETA: 0s - loss: 1.0923e-04 - mean_absolute_error: 0.0080104/126 [=======================>......] - ETA: 0s - loss: 1.0536e-04 - mean_absolute_error: 0.0079121/126 [===========================>..] - ETA: 0s - loss: 1.0472e-04 - mean_absolute_error: 0.0078126/126 [==============================] - 0s 3ms/step - loss: 1.0407e-04 - mean_absolute_error: 0.0078 - val_loss: 1.0091e-04 - val_mean_absolute_error: 0.0077
Epoch 78/100
  1/126 [..............................] - ETA: 0s - loss: 1.2548e-04 - mean_absolute_error: 0.0087 20/126 [===>..........................] - ETA: 0s - loss: 1.0914e-04 - mean_absolute_error: 0.0081 39/126 [========>.....................] - ETA: 0s - loss: 1.1157e-04 - mean_absolute_error: 0.0083 57/126 [============>.................] - ETA: 0s - loss: 1.1211e-04 - mean_absolute_error: 0.0082 74/126 [================>.............] - ETA: 0s - loss: 1.0809e-04 - mean_absolute_error: 0.0080 92/126 [====================>.........] - ETA: 0s - loss: 1.1392e-04 - mean_absolute_error: 0.0082110/126 [=========================>....] - ETA: 0s - loss: 1.1363e-04 - mean_absolute_error: 0.0082126/126 [==============================] - 0s 3ms/step - loss: 1.1190e-04 - mean_absolute_error: 0.0081 - val_loss: 1.0609e-04 - val_mean_absolute_error: 0.0081
Epoch 79/100
  1/126 [..............................] - ETA: 0s - loss: 4.7690e-05 - mean_absolute_error: 0.0056 18/126 [===>..........................] - ETA: 0s - loss: 9.3385e-05 - mean_absolute_error: 0.0076 36/126 [=======>......................] - ETA: 0s - loss: 1.1060e-04 - mean_absolute_error: 0.0081 53/126 [===========>..................] - ETA: 0s - loss: 1.1858e-04 - mean_absolute_error: 0.0085 71/126 [===============>..............] - ETA: 0s - loss: 1.1117e-04 - mean_absolute_error: 0.0082 88/126 [===================>..........] - ETA: 0s - loss: 1.0956e-04 - mean_absolute_error: 0.0081105/126 [========================>.....] - ETA: 0s - loss: 1.0875e-04 - mean_absolute_error: 0.0080122/126 [============================>.] - ETA: 0s - loss: 1.0952e-04 - mean_absolute_error: 0.0080126/126 [==============================] - 0s 3ms/step - loss: 1.1000e-04 - mean_absolute_error: 0.0080 - val_loss: 1.0613e-04 - val_mean_absolute_error: 0.0081
Epoch 80/100
  1/126 [..............................] - ETA: 0s - loss: 1.3843e-04 - mean_absolute_error: 0.0088 20/126 [===>..........................] - ETA: 0s - loss: 1.0911e-04 - mean_absolute_error: 0.0080 38/126 [========>.....................] - ETA: 0s - loss: 1.1412e-04 - mean_absolute_error: 0.0081 56/126 [============>.................] - ETA: 0s - loss: 1.0516e-04 - mean_absolute_error: 0.0078 74/126 [================>.............] - ETA: 0s - loss: 1.0200e-04 - mean_absolute_error: 0.0077 91/126 [====================>.........] - ETA: 0s - loss: 1.0271e-04 - mean_absolute_error: 0.0077109/126 [========================>.....] - ETA: 0s - loss: 1.0050e-04 - mean_absolute_error: 0.0076126/126 [==============================] - ETA: 0s - loss: 1.0248e-04 - mean_absolute_error: 0.0077126/126 [==============================] - 0s 3ms/step - loss: 1.0248e-04 - mean_absolute_error: 0.0077 - val_loss: 1.7342e-04 - val_mean_absolute_error: 0.0106
Epoch 81/100
  1/126 [..............................] - ETA: 0s - loss: 1.3025e-04 - mean_absolute_error: 0.0095 19/126 [===>..........................] - ETA: 0s - loss: 1.1131e-04 - mean_absolute_error: 0.0084 37/126 [=======>......................] - ETA: 0s - loss: 1.1926e-04 - mean_absolute_error: 0.0084 55/126 [============>.................] - ETA: 0s - loss: 1.1704e-04 - mean_absolute_error: 0.0082 73/126 [================>.............] - ETA: 0s - loss: 1.1137e-04 - mean_absolute_error: 0.0080 91/126 [====================>.........] - ETA: 0s - loss: 1.1404e-04 - mean_absolute_error: 0.0082108/126 [========================>.....] - ETA: 0s - loss: 1.1130e-04 - mean_absolute_error: 0.0081126/126 [==============================] - ETA: 0s - loss: 1.1165e-04 - mean_absolute_error: 0.0081126/126 [==============================] - 0s 3ms/step - loss: 1.1165e-04 - mean_absolute_error: 0.0081 - val_loss: 1.4054e-04 - val_mean_absolute_error: 0.0095
Epoch 82/100
  1/126 [..............................] - ETA: 0s - loss: 8.3696e-05 - mean_absolute_error: 0.0077 18/126 [===>..........................] - ETA: 0s - loss: 9.9873e-05 - mean_absolute_error: 0.0078 36/126 [=======>......................] - ETA: 0s - loss: 9.7865e-05 - mean_absolute_error: 0.0075 53/126 [===========>..................] - ETA: 0s - loss: 9.8352e-05 - mean_absolute_error: 0.0076 71/126 [===============>..............] - ETA: 0s - loss: 1.0303e-04 - mean_absolute_error: 0.0078 89/126 [====================>.........] - ETA: 0s - loss: 1.0535e-04 - mean_absolute_error: 0.0079107/126 [========================>.....] - ETA: 0s - loss: 1.0787e-04 - mean_absolute_error: 0.0080125/126 [============================>.] - ETA: 0s - loss: 1.0685e-04 - mean_absolute_error: 0.0079126/126 [==============================] - 0s 3ms/step - loss: 1.0671e-04 - mean_absolute_error: 0.0079 - val_loss: 1.5095e-04 - val_mean_absolute_error: 0.0100
Epoch 83/100
  1/126 [..............................] - ETA: 0s - loss: 8.1198e-05 - mean_absolute_error: 0.0070 19/126 [===>..........................] - ETA: 0s - loss: 1.1906e-04 - mean_absolute_error: 0.0085 36/126 [=======>......................] - ETA: 0s - loss: 1.3347e-04 - mean_absolute_error: 0.0091 53/126 [===========>..................] - ETA: 0s - loss: 1.4241e-04 - mean_absolute_error: 0.0094 70/126 [===============>..............] - ETA: 0s - loss: 1.2743e-04 - mean_absolute_error: 0.0088 88/126 [===================>..........] - ETA: 0s - loss: 1.2663e-04 - mean_absolute_error: 0.0087105/126 [========================>.....] - ETA: 0s - loss: 1.2698e-04 - mean_absolute_error: 0.0087122/126 [============================>.] - ETA: 0s - loss: 1.2248e-04 - mean_absolute_error: 0.0085126/126 [==============================] - 0s 3ms/step - loss: 1.2153e-04 - mean_absolute_error: 0.0085 - val_loss: 1.0152e-04 - val_mean_absolute_error: 0.0079
Epoch 84/100
  1/126 [..............................] - ETA: 0s - loss: 7.6185e-05 - mean_absolute_error: 0.0070 18/126 [===>..........................] - ETA: 0s - loss: 9.7716e-05 - mean_absolute_error: 0.0076 35/126 [=======>......................] - ETA: 0s - loss: 1.0475e-04 - mean_absolute_error: 0.0078 53/126 [===========>..................] - ETA: 0s - loss: 1.0271e-04 - mean_absolute_error: 0.0078 71/126 [===============>..............] - ETA: 0s - loss: 1.0441e-04 - mean_absolute_error: 0.0078 88/126 [===================>..........] - ETA: 0s - loss: 1.1046e-04 - mean_absolute_error: 0.0081104/126 [=======================>......] - ETA: 0s - loss: 1.1111e-04 - mean_absolute_error: 0.0081121/126 [===========================>..] - ETA: 0s - loss: 1.1050e-04 - mean_absolute_error: 0.0081126/126 [==============================] - 0s 3ms/step - loss: 1.1038e-04 - mean_absolute_error: 0.0081 - val_loss: 1.7247e-04 - val_mean_absolute_error: 0.0106
Epoch 85/100
  1/126 [..............................] - ETA: 0s - loss: 2.5979e-04 - mean_absolute_error: 0.0118 18/126 [===>..........................] - ETA: 0s - loss: 1.1340e-04 - mean_absolute_error: 0.0083 35/126 [=======>......................] - ETA: 0s - loss: 1.1643e-04 - mean_absolute_error: 0.0083 52/126 [===========>..................] - ETA: 0s - loss: 1.0929e-04 - mean_absolute_error: 0.0079 70/126 [===============>..............] - ETA: 0s - loss: 1.0685e-04 - mean_absolute_error: 0.0079 87/126 [===================>..........] - ETA: 0s - loss: 1.0364e-04 - mean_absolute_error: 0.0078104/126 [=======================>......] - ETA: 0s - loss: 1.1025e-04 - mean_absolute_error: 0.0080121/126 [===========================>..] - ETA: 0s - loss: 1.1148e-04 - mean_absolute_error: 0.0081126/126 [==============================] - 0s 3ms/step - loss: 1.1046e-04 - mean_absolute_error: 0.0081 - val_loss: 1.2743e-04 - val_mean_absolute_error: 0.0091
Epoch 86/100
  1/126 [..............................] - ETA: 0s - loss: 1.1129e-04 - mean_absolute_error: 0.0094 21/126 [====>.........................] - ETA: 0s - loss: 9.1172e-05 - mean_absolute_error: 0.0076 42/126 [=========>....................] - ETA: 0s - loss: 9.8796e-05 - mean_absolute_error: 0.0078 63/126 [==============>...............] - ETA: 0s - loss: 1.1056e-04 - mean_absolute_error: 0.0082 84/126 [===================>..........] - ETA: 0s - loss: 1.0844e-04 - mean_absolute_error: 0.0080105/126 [========================>.....] - ETA: 0s - loss: 1.1389e-04 - mean_absolute_error: 0.0082125/126 [============================>.] - ETA: 0s - loss: 1.1215e-04 - mean_absolute_error: 0.0081126/126 [==============================] - 0s 3ms/step - loss: 1.1215e-04 - mean_absolute_error: 0.0081 - val_loss: 1.2118e-04 - val_mean_absolute_error: 0.0087
Epoch 87/100
  1/126 [..............................] - ETA: 0s - loss: 6.9338e-05 - mean_absolute_error: 0.0071 22/126 [====>.........................] - ETA: 0s - loss: 1.1925e-04 - mean_absolute_error: 0.0087 43/126 [=========>....................] - ETA: 0s - loss: 1.1303e-04 - mean_absolute_error: 0.0083 64/126 [==============>...............] - ETA: 0s - loss: 1.0805e-04 - mean_absolute_error: 0.0081 85/126 [===================>..........] - ETA: 0s - loss: 1.0768e-04 - mean_absolute_error: 0.0080106/126 [========================>.....] - ETA: 0s - loss: 1.1111e-04 - mean_absolute_error: 0.0081126/126 [==============================] - ETA: 0s - loss: 1.1550e-04 - mean_absolute_error: 0.0083126/126 [==============================] - 0s 3ms/step - loss: 1.1550e-04 - mean_absolute_error: 0.0083 - val_loss: 3.4432e-04 - val_mean_absolute_error: 0.0163
Epoch 88/100
  1/126 [..............................] - ETA: 0s - loss: 3.1322e-04 - mean_absolute_error: 0.0152 22/126 [====>.........................] - ETA: 0s - loss: 1.2472e-04 - mean_absolute_error: 0.0086 43/126 [=========>....................] - ETA: 0s - loss: 1.0623e-04 - mean_absolute_error: 0.0079 64/126 [==============>...............] - ETA: 0s - loss: 1.0429e-04 - mean_absolute_error: 0.0078 85/126 [===================>..........] - ETA: 0s - loss: 1.0169e-04 - mean_absolute_error: 0.0077106/126 [========================>.....] - ETA: 0s - loss: 9.8683e-05 - mean_absolute_error: 0.0075126/126 [==============================] - 0s 3ms/step - loss: 9.8693e-05 - mean_absolute_error: 0.0076 - val_loss: 9.7557e-05 - val_mean_absolute_error: 0.0076
Epoch 89/100
  1/126 [..............................] - ETA: 0s - loss: 5.2576e-05 - mean_absolute_error: 0.0055 20/126 [===>..........................] - ETA: 0s - loss: 1.4284e-04 - mean_absolute_error: 0.0095 40/126 [========>.....................] - ETA: 0s - loss: 1.3982e-04 - mean_absolute_error: 0.0091 60/126 [=============>................] - ETA: 0s - loss: 1.2340e-04 - mean_absolute_error: 0.0085 81/126 [==================>...........] - ETA: 0s - loss: 1.1352e-04 - mean_absolute_error: 0.0081102/126 [=======================>......] - ETA: 0s - loss: 1.0936e-04 - mean_absolute_error: 0.0080123/126 [============================>.] - ETA: 0s - loss: 1.0401e-04 - mean_absolute_error: 0.0078126/126 [==============================] - 0s 3ms/step - loss: 1.0411e-04 - mean_absolute_error: 0.0078 - val_loss: 2.0561e-04 - val_mean_absolute_error: 0.0117
Epoch 90/100
  1/126 [..............................] - ETA: 0s - loss: 1.3298e-04 - mean_absolute_error: 0.0094 22/126 [====>.........................] - ETA: 0s - loss: 1.0200e-04 - mean_absolute_error: 0.0077 43/126 [=========>....................] - ETA: 0s - loss: 9.6225e-05 - mean_absolute_error: 0.0075 64/126 [==============>...............] - ETA: 0s - loss: 9.8436e-05 - mean_absolute_error: 0.0076 85/126 [===================>..........] - ETA: 0s - loss: 9.5200e-05 - mean_absolute_error: 0.0075106/126 [========================>.....] - ETA: 0s - loss: 9.3790e-05 - mean_absolute_error: 0.0074126/126 [==============================] - 0s 3ms/step - loss: 9.6144e-05 - mean_absolute_error: 0.0074 - val_loss: 1.0244e-04 - val_mean_absolute_error: 0.0079
Epoch 91/100
  1/126 [..............................] - ETA: 0s - loss: 8.2370e-05 - mean_absolute_error: 0.0068 22/126 [====>.........................] - ETA: 0s - loss: 8.9001e-05 - mean_absolute_error: 0.0070 43/126 [=========>....................] - ETA: 0s - loss: 9.3217e-05 - mean_absolute_error: 0.0071 64/126 [==============>...............] - ETA: 0s - loss: 9.4183e-05 - mean_absolute_error: 0.0073 85/126 [===================>..........] - ETA: 0s - loss: 9.5640e-05 - mean_absolute_error: 0.0074105/126 [========================>.....] - ETA: 0s - loss: 9.5976e-05 - mean_absolute_error: 0.0074125/126 [============================>.] - ETA: 0s - loss: 1.0015e-04 - mean_absolute_error: 0.0076126/126 [==============================] - 0s 3ms/step - loss: 1.0007e-04 - mean_absolute_error: 0.0076 - val_loss: 1.0092e-04 - val_mean_absolute_error: 0.0078
Epoch 92/100
  1/126 [..............................] - ETA: 0s - loss: 4.2239e-05 - mean_absolute_error: 0.0050 22/126 [====>.........................] - ETA: 0s - loss: 1.1576e-04 - mean_absolute_error: 0.0086 42/126 [=========>....................] - ETA: 0s - loss: 1.2552e-04 - mean_absolute_error: 0.0089 62/126 [=============>................] - ETA: 0s - loss: 1.2491e-04 - mean_absolute_error: 0.0087 83/126 [==================>...........] - ETA: 0s - loss: 1.1620e-04 - mean_absolute_error: 0.0083103/126 [=======================>......] - ETA: 0s - loss: 1.1210e-04 - mean_absolute_error: 0.0082124/126 [============================>.] - ETA: 0s - loss: 1.0872e-04 - mean_absolute_error: 0.0081126/126 [==============================] - 0s 3ms/step - loss: 1.0833e-04 - mean_absolute_error: 0.0081 - val_loss: 1.2023e-04 - val_mean_absolute_error: 0.0088
Epoch 93/100
  1/126 [..............................] - ETA: 0s - loss: 8.3534e-05 - mean_absolute_error: 0.0070 21/126 [====>.........................] - ETA: 0s - loss: 7.8656e-05 - mean_absolute_error: 0.0068 41/126 [========>.....................] - ETA: 0s - loss: 8.4392e-05 - mean_absolute_error: 0.0070 61/126 [=============>................] - ETA: 0s - loss: 9.2554e-05 - mean_absolute_error: 0.0073 81/126 [==================>...........] - ETA: 0s - loss: 9.8514e-05 - mean_absolute_error: 0.0075102/126 [=======================>......] - ETA: 0s - loss: 9.5155e-05 - mean_absolute_error: 0.0074122/126 [============================>.] - ETA: 0s - loss: 9.7656e-05 - mean_absolute_error: 0.0075126/126 [==============================] - 0s 3ms/step - loss: 9.8680e-05 - mean_absolute_error: 0.0075 - val_loss: 1.1053e-04 - val_mean_absolute_error: 0.0084
Epoch 94/100
  1/126 [..............................] - ETA: 0s - loss: 1.4261e-04 - mean_absolute_error: 0.0086 22/126 [====>.........................] - ETA: 0s - loss: 1.0437e-04 - mean_absolute_error: 0.0078 43/126 [=========>....................] - ETA: 0s - loss: 1.0942e-04 - mean_absolute_error: 0.0081 64/126 [==============>...............] - ETA: 0s - loss: 1.1766e-04 - mean_absolute_error: 0.0084 85/126 [===================>..........] - ETA: 0s - loss: 1.2234e-04 - mean_absolute_error: 0.0086106/126 [========================>.....] - ETA: 0s - loss: 1.1816e-04 - mean_absolute_error: 0.0084126/126 [==============================] - ETA: 0s - loss: 1.1372e-04 - mean_absolute_error: 0.0082126/126 [==============================] - 0s 3ms/step - loss: 1.1372e-04 - mean_absolute_error: 0.0082 - val_loss: 1.3433e-04 - val_mean_absolute_error: 0.0093
Epoch 95/100
  1/126 [..............................] - ETA: 0s - loss: 8.9143e-05 - mean_absolute_error: 0.0078 22/126 [====>.........................] - ETA: 0s - loss: 1.1673e-04 - mean_absolute_error: 0.0083 43/126 [=========>....................] - ETA: 0s - loss: 1.2758e-04 - mean_absolute_error: 0.0089 64/126 [==============>...............] - ETA: 0s - loss: 1.2132e-04 - mean_absolute_error: 0.0086 84/126 [===================>..........] - ETA: 0s - loss: 1.1823e-04 - mean_absolute_error: 0.0084104/126 [=======================>......] - ETA: 0s - loss: 1.2086e-04 - mean_absolute_error: 0.0085124/126 [============================>.] - ETA: 0s - loss: 1.1657e-04 - mean_absolute_error: 0.0084126/126 [==============================] - 0s 3ms/step - loss: 1.1597e-04 - mean_absolute_error: 0.0083 - val_loss: 1.0057e-04 - val_mean_absolute_error: 0.0079
Epoch 96/100
  1/126 [..............................] - ETA: 0s - loss: 9.9872e-05 - mean_absolute_error: 0.0079 23/126 [====>.........................] - ETA: 0s - loss: 9.2616e-05 - mean_absolute_error: 0.0073 44/126 [=========>....................] - ETA: 0s - loss: 9.3609e-05 - mean_absolute_error: 0.0074 65/126 [==============>...............] - ETA: 0s - loss: 9.3528e-05 - mean_absolute_error: 0.0074 86/126 [===================>..........] - ETA: 0s - loss: 9.4966e-05 - mean_absolute_error: 0.0074107/126 [========================>.....] - ETA: 0s - loss: 9.6736e-05 - mean_absolute_error: 0.0075126/126 [==============================] - 0s 3ms/step - loss: 9.4026e-05 - mean_absolute_error: 0.0074 - val_loss: 1.3510e-04 - val_mean_absolute_error: 0.0093
Epoch 97/100
  1/126 [..............................] - ETA: 0s - loss: 1.1601e-04 - mean_absolute_error: 0.0087 22/126 [====>.........................] - ETA: 0s - loss: 1.0764e-04 - mean_absolute_error: 0.0081 43/126 [=========>....................] - ETA: 0s - loss: 1.1077e-04 - mean_absolute_error: 0.0080 64/126 [==============>...............] - ETA: 0s - loss: 1.0265e-04 - mean_absolute_error: 0.0077 85/126 [===================>..........] - ETA: 0s - loss: 9.8843e-05 - mean_absolute_error: 0.0076106/126 [========================>.....] - ETA: 0s - loss: 9.9931e-05 - mean_absolute_error: 0.0077126/126 [==============================] - 0s 3ms/step - loss: 9.9288e-05 - mean_absolute_error: 0.0076 - val_loss: 1.0404e-04 - val_mean_absolute_error: 0.0080
Epoch 98/100
  1/126 [..............................] - ETA: 0s - loss: 8.3702e-05 - mean_absolute_error: 0.0071 22/126 [====>.........................] - ETA: 0s - loss: 1.1807e-04 - mean_absolute_error: 0.0083 43/126 [=========>....................] - ETA: 0s - loss: 1.0881e-04 - mean_absolute_error: 0.0079 64/126 [==============>...............] - ETA: 0s - loss: 1.0992e-04 - mean_absolute_error: 0.0080 85/126 [===================>..........] - ETA: 0s - loss: 1.1334e-04 - mean_absolute_error: 0.0082106/126 [========================>.....] - ETA: 0s - loss: 1.1153e-04 - mean_absolute_error: 0.0081126/126 [==============================] - ETA: 0s - loss: 1.1438e-04 - mean_absolute_error: 0.0082126/126 [==============================] - 0s 3ms/step - loss: 1.1438e-04 - mean_absolute_error: 0.0082 - val_loss: 1.5167e-04 - val_mean_absolute_error: 0.0098
Epoch 99/100
  1/126 [..............................] - ETA: 0s - loss: 8.8293e-05 - mean_absolute_error: 0.0072 22/126 [====>.........................] - ETA: 0s - loss: 1.0637e-04 - mean_absolute_error: 0.0077 43/126 [=========>....................] - ETA: 0s - loss: 1.0910e-04 - mean_absolute_error: 0.0079 64/126 [==============>...............] - ETA: 0s - loss: 1.0478e-04 - mean_absolute_error: 0.0078 85/126 [===================>..........] - ETA: 0s - loss: 1.1351e-04 - mean_absolute_error: 0.0082106/126 [========================>.....] - ETA: 0s - loss: 1.1755e-04 - mean_absolute_error: 0.0084126/126 [==============================] - 0s 3ms/step - loss: 1.2193e-04 - mean_absolute_error: 0.0086 - val_loss: 1.5336e-04 - val_mean_absolute_error: 0.0099
Epoch 100/100
  1/126 [..............................] - ETA: 0s - loss: 1.2522e-04 - mean_absolute_error: 0.0094 22/126 [====>.........................] - ETA: 0s - loss: 1.1204e-04 - mean_absolute_error: 0.0084 43/126 [=========>....................] - ETA: 0s - loss: 1.1362e-04 - mean_absolute_error: 0.0082 64/126 [==============>...............] - ETA: 0s - loss: 1.1794e-04 - mean_absolute_error: 0.0084 85/126 [===================>..........] - ETA: 0s - loss: 1.1242e-04 - mean_absolute_error: 0.0081106/126 [========================>.....] - ETA: 0s - loss: 1.0643e-04 - mean_absolute_error: 0.0079126/126 [==============================] - 0s 3ms/step - loss: 1.0335e-04 - mean_absolute_error: 0.0078 - val_loss: 1.0612e-04 - val_mean_absolute_error: 0.0081

<keras.src.callbacks.History at 0x1b9b0619590>

After the training and fitting of the Machine Learning model for Canada, I tried to create visualizations comparing the model against the country’s training dataset, validation dataset, but most importantly the testing dataset (as shown below in the line graphs). Note that the darker and thicker blue lines represent the prediction model’s projections and the thinner red lines is the observed/gathered data.

```{python}
# Testing the Machine Learning Model prediction for Austrailia with the train, 
# validation, and test sets
# Most important is the test set prediction as this tests the effectiveness
# of the Machine Learning model on data it has not seen before 
canada_train_pred = canada_model.predict(X_canada_train).flatten()

plt.plot(dates_canada_train, canada_train_pred, linewidth=4)
plt.plot(dates_canada_train, y_canada_train, linewidth=1)
plt.legend(["Training Predictions", "Training Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Canada - Training Set Predictions vs. Observations")
plt.show()

canada_val_pred = canada_model.predict(X_canada_val).flatten()

plt.plot(dates_canada_val, canada_val_pred, linewidth=4)
plt.plot(dates_canada_val, y_canada_val, linewidth=1)
plt.legend(["Validation Predictions", "Validation Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Canada - Validation Set Predictions vs. Observations")
plt.show()

canada_test_pred = canada_model.predict(X_canada_test).flatten()

plt.plot(dates_canada_test, canada_test_pred, linewidth=4)
plt.plot(dates_canada_test, y_canada_test, linewidth=1)
plt.legend(["Testing Predictions", "Testing Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Canada - Testing Set Predictions vs. Observations")
plt.show()
```

  1/126 [..............................] - ETA: 42s 41/126 [========>.....................] - ETA: 0s  81/126 [==================>...........] - ETA: 0s122/126 [============================>.] - ETA: 0s126/126 [==============================] - 1s 1ms/step
 1/16 [>.............................] - ETA: 0s16/16 [==============================] - 0s 1ms/step
 1/16 [>.............................] - ETA: 0s16/16 [==============================] - 0s 1ms/step

Through careful consideration of all of the prediction-based vs. observation-based contrast visualizations together, I consolidated all of graphics into one singular visualization for you to see below to get a more general perspective of the effectiveness of the Machine Learning model at training and fitting towards predicting Canada’s international currency rate with the United States.

```{python}
# Plotting Canada's observational (reference) data with the predictions of its 
# Machine Learning Model (as a way to visually inspect the effectiveness of the 
# model) 
plt.plot(dates_canada_train, canada_train_pred, linewidth=4)
plt.plot(dates_canada_train, y_canada_train, linewidth=1)
plt.plot(dates_canada_val, canada_val_pred, linewidth=4)
plt.plot(dates_canada_val, y_canada_val, linewidth=1)
plt.plot(dates_canada_test, canada_test_pred, linewidth=4)
plt.plot(dates_canada_test, y_canada_test, linewidth=1)

plt.legend(["Training Predictions",
            "Training Observations",
            "Validation Predictions",
            "Validation Observations",
            "Testing Predictions",
            "Testing Observations"], loc="upper right")
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Culmination of the Three Machine Learning Phases of Austrailia's Dataset - Predictions vs. Observations")
plt.show()
```

Then, I worked on the United Kingdom’s data (as shown below):

Since the data (date, X, and y) is split into three np.arrays and to be more efficient, I will manually split the United Kingdom’s data into train, test, and validation datasets for the Machine Learning model with 80% going to the training dataset, the next 10% going to the validation dataset, and the last 10% going to the test dataset for each np.array respectively.

```{python}
# Splitting United Kingdom's data into train, test, and validation sets on 3 
# mediums: the X-axis, the y-axis, and the indices (represented by dates)
dates_united_kingdom_train, X_united_kingdom_train, y_united_kingdom_train = dates_united_kingdom[:percentile_80], X_united_kingdom[:percentile_80], y_united_kingdom[:percentile_80]
dates_united_kingdom_val, X_united_kingdom_val, y_united_kingdom_val = dates_united_kingdom[percentile_80:percentile_90], X_united_kingdom[percentile_80:percentile_90], y_united_kingdom[percentile_80:percentile_90]
dates_united_kingdom_test, X_united_kingdom_test, y_united_kingdom_test = dates_united_kingdom[percentile_90:], X_united_kingdom[percentile_90:], y_united_kingdom[percentile_90:]

plt.plot(dates_united_kingdom_train, y_united_kingdom_train, linewidth=1)
plt.plot(dates_united_kingdom_val, y_united_kingdom_val, linewidth=1)
plt.plot(dates_united_kingdom_test, y_united_kingdom_test, linewidth=1)

plt.legend(["Training", "Validation", "Testing"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Split of United Kingdom's Data for LSTM Model")
plt.show()
```

Now, I began to configure the Machine Learning model. We added Sequential layers: an Input layer 3 by 1 because we will have 3 np.arrays of Input and 1 np.array as output, utilize a LSTM (Long Short-Term Memory) layer of 64 neurons, apply 2 levels of dense layers with 32 neurons and folliowing recommendations online to use the RELU (Rectified Linear Unit) Activiation Function, and I followed up with one last dense layer of 1 neuron as our output layer since we are just trying to linearly-predict the next currency-rate on a near-future date. Once I configured the Sequential layers, we are ready to compile the model, utilzing the mean_square_error as our minimizing loss function, using the Adam optimizer, and comparing our trained model against our data with the mean_absolute_error metric. Lastly, I fitted our model, utilzing our X_train and Y_train datasets for fitting with validation from our X_valid and Y_valid datasets at 100 epochs.

```{python}
# Configuring the Machine Learning Tensorflow Model for United Kingdom
united_kingdom_model = Sequential([layers.Input((3, 1)),
                    layers.LSTM(64),
                    layers.Dense(32, activation="relu"),
                    layers.Dense(32, activation="relu"),
                    layers.Dense(1)])

united_kingdom_model.compile(loss="mse",
              optimizer=Adam(learning_rate=0.001),
              metrics=["mean_absolute_error"])

united_kingdom_model.fit(X_united_kingdom_train, y_united_kingdom_train, validation_data=(X_united_kingdom_val, y_united_kingdom_val), epochs=100)
```

Epoch 1/100
  1/126 [..............................] - ETA: 4:07 - loss: 0.3905 - mean_absolute_error: 0.6227 23/126 [====>.........................] - ETA: 0s - loss: 0.2156 - mean_absolute_error: 0.4488   45/126 [=========>....................] - ETA: 0s - loss: 0.1158 - mean_absolute_error: 0.2754 66/126 [==============>...............] - ETA: 0s - loss: 0.0795 - mean_absolute_error: 0.1984 86/126 [===================>..........] - ETA: 0s - loss: 0.0612 - mean_absolute_error: 0.1574107/126 [========================>.....] - ETA: 0s - loss: 0.0493 - mean_absolute_error: 0.1307126/126 [==============================] - 3s 6ms/step - loss: 0.0422 - mean_absolute_error: 0.1147 - val_loss: 0.0036 - val_mean_absolute_error: 0.0574
Epoch 2/100
  1/126 [..............................] - ETA: 0s - loss: 7.4259e-04 - mean_absolute_error: 0.0235 24/126 [====>.........................] - ETA: 0s - loss: 6.0324e-04 - mean_absolute_error: 0.0195 47/126 [==========>...................] - ETA: 0s - loss: 6.2308e-04 - mean_absolute_error: 0.0201 69/126 [===============>..............] - ETA: 0s - loss: 6.1058e-04 - mean_absolute_error: 0.0200 91/126 [====================>.........] - ETA: 0s - loss: 5.9400e-04 - mean_absolute_error: 0.0197113/126 [=========================>....] - ETA: 0s - loss: 5.8642e-04 - mean_absolute_error: 0.0197126/126 [==============================] - 0s 3ms/step - loss: 5.7809e-04 - mean_absolute_error: 0.0195 - val_loss: 0.0027 - val_mean_absolute_error: 0.0494
Epoch 3/100
  1/126 [..............................] - ETA: 0s - loss: 5.4789e-04 - mean_absolute_error: 0.0204 23/126 [====>.........................] - ETA: 0s - loss: 4.7826e-04 - mean_absolute_error: 0.0177 45/126 [=========>....................] - ETA: 0s - loss: 4.7430e-04 - mean_absolute_error: 0.0177 67/126 [==============>...............] - ETA: 0s - loss: 4.6772e-04 - mean_absolute_error: 0.0176 88/126 [===================>..........] - ETA: 0s - loss: 4.5642e-04 - mean_absolute_error: 0.0174109/126 [========================>.....] - ETA: 0s - loss: 4.4781e-04 - mean_absolute_error: 0.0172126/126 [==============================] - 0s 3ms/step - loss: 4.3484e-04 - mean_absolute_error: 0.0169 - val_loss: 0.0019 - val_mean_absolute_error: 0.0419
Epoch 4/100
  1/126 [..............................] - ETA: 0s - loss: 3.5392e-04 - mean_absolute_error: 0.0164 23/126 [====>.........................] - ETA: 0s - loss: 3.4229e-04 - mean_absolute_error: 0.0149 43/126 [=========>....................] - ETA: 0s - loss: 3.3125e-04 - mean_absolute_error: 0.0146 61/126 [=============>................] - ETA: 0s - loss: 3.3049e-04 - mean_absolute_error: 0.0147 81/126 [==================>...........] - ETA: 0s - loss: 3.1816e-04 - mean_absolute_error: 0.0144102/126 [=======================>......] - ETA: 0s - loss: 3.0277e-04 - mean_absolute_error: 0.0140123/126 [============================>.] - ETA: 0s - loss: 2.9131e-04 - mean_absolute_error: 0.0137126/126 [==============================] - 0s 3ms/step - loss: 2.8927e-04 - mean_absolute_error: 0.0137 - val_loss: 0.0011 - val_mean_absolute_error: 0.0319
Epoch 5/100
  1/126 [..............................] - ETA: 0s - loss: 2.0565e-04 - mean_absolute_error: 0.0118 22/126 [====>.........................] - ETA: 0s - loss: 2.2461e-04 - mean_absolute_error: 0.0121 44/126 [=========>....................] - ETA: 0s - loss: 2.1029e-04 - mean_absolute_error: 0.0117 65/126 [==============>...............] - ETA: 0s - loss: 1.9104e-04 - mean_absolute_error: 0.0111 86/126 [===================>..........] - ETA: 0s - loss: 1.8318e-04 - mean_absolute_error: 0.0109107/126 [========================>.....] - ETA: 0s - loss: 1.7509e-04 - mean_absolute_error: 0.0106126/126 [==============================] - 0s 3ms/step - loss: 1.6767e-04 - mean_absolute_error: 0.0104 - val_loss: 3.1902e-04 - val_mean_absolute_error: 0.0157
Epoch 6/100
  1/126 [..............................] - ETA: 0s - loss: 1.3014e-04 - mean_absolute_error: 0.0091 23/126 [====>.........................] - ETA: 0s - loss: 1.2154e-04 - mean_absolute_error: 0.0090 44/126 [=========>....................] - ETA: 0s - loss: 1.0866e-04 - mean_absolute_error: 0.0084 65/126 [==============>...............] - ETA: 0s - loss: 1.0130e-04 - mean_absolute_error: 0.0080 87/126 [===================>..........] - ETA: 0s - loss: 9.4647e-05 - mean_absolute_error: 0.0078109/126 [========================>.....] - ETA: 0s - loss: 8.8740e-05 - mean_absolute_error: 0.0075126/126 [==============================] - 0s 3ms/step - loss: 8.6031e-05 - mean_absolute_error: 0.0073 - val_loss: 1.5289e-04 - val_mean_absolute_error: 0.0101
Epoch 7/100
  1/126 [..............................] - ETA: 0s - loss: 4.8239e-05 - mean_absolute_error: 0.0055 22/126 [====>.........................] - ETA: 0s - loss: 5.0919e-05 - mean_absolute_error: 0.0056 43/126 [=========>....................] - ETA: 0s - loss: 5.3793e-05 - mean_absolute_error: 0.0056 64/126 [==============>...............] - ETA: 0s - loss: 5.1699e-05 - mean_absolute_error: 0.0055 85/126 [===================>..........] - ETA: 0s - loss: 5.0261e-05 - mean_absolute_error: 0.0055106/126 [========================>.....] - ETA: 0s - loss: 4.8852e-05 - mean_absolute_error: 0.0054126/126 [==============================] - 0s 3ms/step - loss: 4.8369e-05 - mean_absolute_error: 0.0053 - val_loss: 7.2417e-05 - val_mean_absolute_error: 0.0060
Epoch 8/100
  1/126 [..............................] - ETA: 0s - loss: 2.3990e-05 - mean_absolute_error: 0.0034 23/126 [====>.........................] - ETA: 0s - loss: 4.0440e-05 - mean_absolute_error: 0.0047 45/126 [=========>....................] - ETA: 0s - loss: 3.8657e-05 - mean_absolute_error: 0.0046 67/126 [==============>...............] - ETA: 0s - loss: 3.6133e-05 - mean_absolute_error: 0.0045 88/126 [===================>..........] - ETA: 0s - loss: 3.6391e-05 - mean_absolute_error: 0.0045109/126 [========================>.....] - ETA: 0s - loss: 3.7519e-05 - mean_absolute_error: 0.0046126/126 [==============================] - 0s 3ms/step - loss: 3.7663e-05 - mean_absolute_error: 0.0045 - val_loss: 7.3828e-05 - val_mean_absolute_error: 0.0062
Epoch 9/100
  1/126 [..............................] - ETA: 0s - loss: 3.5898e-05 - mean_absolute_error: 0.0046 23/126 [====>.........................] - ETA: 0s - loss: 3.8815e-05 - mean_absolute_error: 0.0045 45/126 [=========>....................] - ETA: 0s - loss: 3.7708e-05 - mean_absolute_error: 0.0045 67/126 [==============>...............] - ETA: 0s - loss: 3.5987e-05 - mean_absolute_error: 0.0043 89/126 [====================>.........] - ETA: 0s - loss: 3.6648e-05 - mean_absolute_error: 0.0043111/126 [=========================>....] - ETA: 0s - loss: 3.6268e-05 - mean_absolute_error: 0.0043126/126 [==============================] - 0s 3ms/step - loss: 3.5587e-05 - mean_absolute_error: 0.0043 - val_loss: 9.6980e-05 - val_mean_absolute_error: 0.0077
Epoch 10/100
  1/126 [..............................] - ETA: 0s - loss: 2.7448e-05 - mean_absolute_error: 0.0039 22/126 [====>.........................] - ETA: 0s - loss: 3.4995e-05 - mean_absolute_error: 0.0044 44/126 [=========>....................] - ETA: 0s - loss: 3.9000e-05 - mean_absolute_error: 0.0045 65/126 [==============>...............] - ETA: 0s - loss: 3.8066e-05 - mean_absolute_error: 0.0045 87/126 [===================>..........] - ETA: 0s - loss: 3.6903e-05 - mean_absolute_error: 0.0044108/126 [========================>.....] - ETA: 0s - loss: 3.6319e-05 - mean_absolute_error: 0.0043126/126 [==============================] - 0s 3ms/step - loss: 3.5593e-05 - mean_absolute_error: 0.0043 - val_loss: 9.2268e-05 - val_mean_absolute_error: 0.0074
Epoch 11/100
  1/126 [..............................] - ETA: 0s - loss: 2.8719e-05 - mean_absolute_error: 0.0039 23/126 [====>.........................] - ETA: 0s - loss: 4.0883e-05 - mean_absolute_error: 0.0046 44/126 [=========>....................] - ETA: 0s - loss: 3.5849e-05 - mean_absolute_error: 0.0044 66/126 [==============>...............] - ETA: 0s - loss: 3.5461e-05 - mean_absolute_error: 0.0044 87/126 [===================>..........] - ETA: 0s - loss: 3.6309e-05 - mean_absolute_error: 0.0045108/126 [========================>.....] - ETA: 0s - loss: 3.6658e-05 - mean_absolute_error: 0.0044126/126 [==============================] - 0s 3ms/step - loss: 3.7287e-05 - mean_absolute_error: 0.0045 - val_loss: 7.3156e-05 - val_mean_absolute_error: 0.0060
Epoch 12/100
  1/126 [..............................] - ETA: 0s - loss: 4.0655e-05 - mean_absolute_error: 0.0050 23/126 [====>.........................] - ETA: 0s - loss: 4.4123e-05 - mean_absolute_error: 0.0048 45/126 [=========>....................] - ETA: 0s - loss: 3.8753e-05 - mean_absolute_error: 0.0045 67/126 [==============>...............] - ETA: 0s - loss: 3.8085e-05 - mean_absolute_error: 0.0045 89/126 [====================>.........] - ETA: 0s - loss: 3.8123e-05 - mean_absolute_error: 0.0045110/126 [=========================>....] - ETA: 0s - loss: 3.7217e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 0s 3ms/step - loss: 3.6841e-05 - mean_absolute_error: 0.0044 - val_loss: 8.9902e-05 - val_mean_absolute_error: 0.0072
Epoch 13/100
  1/126 [..............................] - ETA: 0s - loss: 1.5089e-05 - mean_absolute_error: 0.0023 22/126 [====>.........................] - ETA: 0s - loss: 3.1067e-05 - mean_absolute_error: 0.0040 44/126 [=========>....................] - ETA: 0s - loss: 3.0184e-05 - mean_absolute_error: 0.0039 66/126 [==============>...............] - ETA: 0s - loss: 3.2228e-05 - mean_absolute_error: 0.0040 87/126 [===================>..........] - ETA: 0s - loss: 3.3662e-05 - mean_absolute_error: 0.0042108/126 [========================>.....] - ETA: 0s - loss: 3.4800e-05 - mean_absolute_error: 0.0043126/126 [==============================] - 0s 3ms/step - loss: 3.6129e-05 - mean_absolute_error: 0.0044 - val_loss: 1.0178e-04 - val_mean_absolute_error: 0.0079
Epoch 14/100
  1/126 [..............................] - ETA: 0s - loss: 2.9505e-05 - mean_absolute_error: 0.0042 22/126 [====>.........................] - ETA: 0s - loss: 3.7624e-05 - mean_absolute_error: 0.0048 44/126 [=========>....................] - ETA: 0s - loss: 3.9061e-05 - mean_absolute_error: 0.0048 66/126 [==============>...............] - ETA: 0s - loss: 3.7643e-05 - mean_absolute_error: 0.0047 87/126 [===================>..........] - ETA: 0s - loss: 3.8554e-05 - mean_absolute_error: 0.0047108/126 [========================>.....] - ETA: 0s - loss: 3.8058e-05 - mean_absolute_error: 0.0046126/126 [==============================] - 0s 3ms/step - loss: 3.7475e-05 - mean_absolute_error: 0.0045 - val_loss: 7.8812e-05 - val_mean_absolute_error: 0.0065
Epoch 15/100
  1/126 [..............................] - ETA: 0s - loss: 1.8000e-05 - mean_absolute_error: 0.0031 23/126 [====>.........................] - ETA: 0s - loss: 3.5953e-05 - mean_absolute_error: 0.0044 45/126 [=========>....................] - ETA: 0s - loss: 3.5044e-05 - mean_absolute_error: 0.0042 67/126 [==============>...............] - ETA: 0s - loss: 3.5658e-05 - mean_absolute_error: 0.0043 88/126 [===================>..........] - ETA: 0s - loss: 3.6771e-05 - mean_absolute_error: 0.0045110/126 [=========================>....] - ETA: 0s - loss: 3.7356e-05 - mean_absolute_error: 0.0044126/126 [==============================] - 0s 3ms/step - loss: 3.6703e-05 - mean_absolute_error: 0.0044 - val_loss: 1.1797e-04 - val_mean_absolute_error: 0.0087
Epoch 16/100
  1/126 [..............................] - ETA: 0s - loss: 3.8566e-05 - mean_absolute_error: 0.0051 23/126 [====>.........................] - ETA: 0s - loss: 3.5735e-05 - mean_absolute_error: 0.0044 45/126 [=========>....................] - ETA: 0s - loss: 3.9238e-05 - mean_absolute_error: 0.0045 67/126 [==============>...............] - ETA: 0s - loss: 3.9853e-05 - mean_absolute_error: 0.0046 88/126 [===================>..........] - ETA: 0s - loss: 3.8955e-05 - mean_absolute_error: 0.0046109/126 [========================>.....] - ETA: 0s - loss: 3.7896e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 0s 3ms/step - loss: 3.7078e-05 - mean_absolute_error: 0.0045 - val_loss: 8.2179e-05 - val_mean_absolute_error: 0.0067
Epoch 17/100
  1/126 [..............................] - ETA: 0s - loss: 2.4024e-05 - mean_absolute_error: 0.0035 23/126 [====>.........................] - ETA: 0s - loss: 3.2944e-05 - mean_absolute_error: 0.0042 45/126 [=========>....................] - ETA: 0s - loss: 3.8476e-05 - mean_absolute_error: 0.0047 67/126 [==============>...............] - ETA: 0s - loss: 4.0984e-05 - mean_absolute_error: 0.0049 88/126 [===================>..........] - ETA: 0s - loss: 4.0847e-05 - mean_absolute_error: 0.0048110/126 [=========================>....] - ETA: 0s - loss: 3.9923e-05 - mean_absolute_error: 0.0047126/126 [==============================] - 0s 3ms/step - loss: 3.9527e-05 - mean_absolute_error: 0.0047 - val_loss: 7.2796e-05 - val_mean_absolute_error: 0.0061
Epoch 18/100
  1/126 [..............................] - ETA: 0s - loss: 2.8707e-05 - mean_absolute_error: 0.0043 23/126 [====>.........................] - ETA: 0s - loss: 3.5218e-05 - mean_absolute_error: 0.0042 45/126 [=========>....................] - ETA: 0s - loss: 3.5532e-05 - mean_absolute_error: 0.0042 67/126 [==============>...............] - ETA: 0s - loss: 3.5899e-05 - mean_absolute_error: 0.0043 89/126 [====================>.........] - ETA: 0s - loss: 3.5280e-05 - mean_absolute_error: 0.0043109/126 [========================>.....] - ETA: 0s - loss: 3.5431e-05 - mean_absolute_error: 0.0043126/126 [==============================] - 0s 3ms/step - loss: 3.6811e-05 - mean_absolute_error: 0.0044 - val_loss: 7.7296e-05 - val_mean_absolute_error: 0.0065
Epoch 19/100
  1/126 [..............................] - ETA: 0s - loss: 6.8337e-05 - mean_absolute_error: 0.0060 23/126 [====>.........................] - ETA: 0s - loss: 3.9330e-05 - mean_absolute_error: 0.0046 45/126 [=========>....................] - ETA: 0s - loss: 3.7610e-05 - mean_absolute_error: 0.0045 67/126 [==============>...............] - ETA: 0s - loss: 3.7199e-05 - mean_absolute_error: 0.0045 89/126 [====================>.........] - ETA: 0s - loss: 3.6851e-05 - mean_absolute_error: 0.0045110/126 [=========================>....] - ETA: 0s - loss: 3.7193e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 0s 3ms/step - loss: 3.7554e-05 - mean_absolute_error: 0.0045 - val_loss: 9.2006e-05 - val_mean_absolute_error: 0.0074
Epoch 20/100
  1/126 [..............................] - ETA: 0s - loss: 3.0088e-05 - mean_absolute_error: 0.0042 23/126 [====>.........................] - ETA: 0s - loss: 3.7265e-05 - mean_absolute_error: 0.0044 45/126 [=========>....................] - ETA: 0s - loss: 3.4926e-05 - mean_absolute_error: 0.0043 67/126 [==============>...............] - ETA: 0s - loss: 3.5192e-05 - mean_absolute_error: 0.0043 88/126 [===================>..........] - ETA: 0s - loss: 3.7112e-05 - mean_absolute_error: 0.0045106/126 [========================>.....] - ETA: 0s - loss: 3.7236e-05 - mean_absolute_error: 0.0045125/126 [============================>.] - ETA: 0s - loss: 3.6754e-05 - mean_absolute_error: 0.0044126/126 [==============================] - 0s 3ms/step - loss: 3.6749e-05 - mean_absolute_error: 0.0044 - val_loss: 8.9647e-05 - val_mean_absolute_error: 0.0073
Epoch 21/100
  1/126 [..............................] - ETA: 0s - loss: 3.1421e-05 - mean_absolute_error: 0.0039 19/126 [===>..........................] - ETA: 0s - loss: 3.3327e-05 - mean_absolute_error: 0.0043 37/126 [=======>......................] - ETA: 0s - loss: 3.2472e-05 - mean_absolute_error: 0.0042 57/126 [============>.................] - ETA: 0s - loss: 3.5845e-05 - mean_absolute_error: 0.0044 77/126 [=================>............] - ETA: 0s - loss: 3.7019e-05 - mean_absolute_error: 0.0045 98/126 [======================>.......] - ETA: 0s - loss: 3.6350e-05 - mean_absolute_error: 0.0045119/126 [===========================>..] - ETA: 0s - loss: 3.7244e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 0s 3ms/step - loss: 3.7208e-05 - mean_absolute_error: 0.0045 - val_loss: 7.2080e-05 - val_mean_absolute_error: 0.0061
Epoch 22/100
  1/126 [..............................] - ETA: 0s - loss: 2.7621e-05 - mean_absolute_error: 0.0041 23/126 [====>.........................] - ETA: 0s - loss: 3.1498e-05 - mean_absolute_error: 0.0041 45/126 [=========>....................] - ETA: 0s - loss: 3.3107e-05 - mean_absolute_error: 0.0042 66/126 [==============>...............] - ETA: 0s - loss: 3.5259e-05 - mean_absolute_error: 0.0043 88/126 [===================>..........] - ETA: 0s - loss: 3.5813e-05 - mean_absolute_error: 0.0044109/126 [========================>.....] - ETA: 0s - loss: 3.6434e-05 - mean_absolute_error: 0.0044126/126 [==============================] - 0s 3ms/step - loss: 3.6297e-05 - mean_absolute_error: 0.0044 - val_loss: 7.0195e-05 - val_mean_absolute_error: 0.0058
Epoch 23/100
  1/126 [..............................] - ETA: 0s - loss: 2.6784e-05 - mean_absolute_error: 0.0044 21/126 [====>.........................] - ETA: 0s - loss: 4.2064e-05 - mean_absolute_error: 0.0048 41/126 [========>.....................] - ETA: 0s - loss: 4.2145e-05 - mean_absolute_error: 0.0047 61/126 [=============>................] - ETA: 0s - loss: 4.1268e-05 - mean_absolute_error: 0.0047 81/126 [==================>...........] - ETA: 0s - loss: 3.9766e-05 - mean_absolute_error: 0.0046101/126 [=======================>......] - ETA: 0s - loss: 3.7716e-05 - mean_absolute_error: 0.0045121/126 [===========================>..] - ETA: 0s - loss: 3.6925e-05 - mean_absolute_error: 0.0044126/126 [==============================] - 0s 3ms/step - loss: 3.6713e-05 - mean_absolute_error: 0.0044 - val_loss: 7.5646e-05 - val_mean_absolute_error: 0.0064
Epoch 24/100
  1/126 [..............................] - ETA: 0s - loss: 3.9011e-05 - mean_absolute_error: 0.0047 22/126 [====>.........................] - ETA: 0s - loss: 2.9107e-05 - mean_absolute_error: 0.0040 42/126 [=========>....................] - ETA: 0s - loss: 3.3873e-05 - mean_absolute_error: 0.0043 64/126 [==============>...............] - ETA: 0s - loss: 3.6573e-05 - mean_absolute_error: 0.0044 86/126 [===================>..........] - ETA: 0s - loss: 3.6506e-05 - mean_absolute_error: 0.0044107/126 [========================>.....] - ETA: 0s - loss: 3.6596e-05 - mean_absolute_error: 0.0044126/126 [==============================] - 0s 3ms/step - loss: 3.6252e-05 - mean_absolute_error: 0.0044 - val_loss: 7.6993e-05 - val_mean_absolute_error: 0.0065
Epoch 25/100
  1/126 [..............................] - ETA: 0s - loss: 3.4955e-05 - mean_absolute_error: 0.0046 23/126 [====>.........................] - ETA: 0s - loss: 3.5921e-05 - mean_absolute_error: 0.0043 45/126 [=========>....................] - ETA: 0s - loss: 3.4727e-05 - mean_absolute_error: 0.0043 67/126 [==============>...............] - ETA: 0s - loss: 3.3658e-05 - mean_absolute_error: 0.0042 89/126 [====================>.........] - ETA: 0s - loss: 3.4886e-05 - mean_absolute_error: 0.0042109/126 [========================>.....] - ETA: 0s - loss: 3.5424e-05 - mean_absolute_error: 0.0043126/126 [==============================] - 0s 3ms/step - loss: 3.6305e-05 - mean_absolute_error: 0.0044 - val_loss: 6.9951e-05 - val_mean_absolute_error: 0.0060
Epoch 26/100
  1/126 [..............................] - ETA: 0s - loss: 3.2173e-05 - mean_absolute_error: 0.0042 23/126 [====>.........................] - ETA: 0s - loss: 4.1872e-05 - mean_absolute_error: 0.0048 45/126 [=========>....................] - ETA: 0s - loss: 3.7437e-05 - mean_absolute_error: 0.0045 67/126 [==============>...............] - ETA: 0s - loss: 3.7366e-05 - mean_absolute_error: 0.0044 89/126 [====================>.........] - ETA: 0s - loss: 3.6788e-05 - mean_absolute_error: 0.0044110/126 [=========================>....] - ETA: 0s - loss: 3.6843e-05 - mean_absolute_error: 0.0044126/126 [==============================] - 0s 3ms/step - loss: 3.6956e-05 - mean_absolute_error: 0.0044 - val_loss: 8.8728e-05 - val_mean_absolute_error: 0.0073
Epoch 27/100
  1/126 [..............................] - ETA: 0s - loss: 2.2952e-05 - mean_absolute_error: 0.0041 23/126 [====>.........................] - ETA: 0s - loss: 3.8445e-05 - mean_absolute_error: 0.0046 44/126 [=========>....................] - ETA: 0s - loss: 3.8552e-05 - mean_absolute_error: 0.0047 66/126 [==============>...............] - ETA: 0s - loss: 3.9706e-05 - mean_absolute_error: 0.0048 88/126 [===================>..........] - ETA: 0s - loss: 3.9001e-05 - mean_absolute_error: 0.0046110/126 [=========================>....] - ETA: 0s - loss: 3.8627e-05 - mean_absolute_error: 0.0046126/126 [==============================] - 0s 3ms/step - loss: 3.9460e-05 - mean_absolute_error: 0.0047 - val_loss: 7.4942e-05 - val_mean_absolute_error: 0.0064
Epoch 28/100
  1/126 [..............................] - ETA: 0s - loss: 4.1784e-05 - mean_absolute_error: 0.0053 22/126 [====>.........................] - ETA: 0s - loss: 3.9650e-05 - mean_absolute_error: 0.0048 43/126 [=========>....................] - ETA: 0s - loss: 4.0687e-05 - mean_absolute_error: 0.0049 64/126 [==============>...............] - ETA: 0s - loss: 3.7917e-05 - mean_absolute_error: 0.0046 85/126 [===================>..........] - ETA: 0s - loss: 3.7136e-05 - mean_absolute_error: 0.0045107/126 [========================>.....] - ETA: 0s - loss: 3.7157e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 0s 3ms/step - loss: 3.9273e-05 - mean_absolute_error: 0.0047 - val_loss: 1.0058e-04 - val_mean_absolute_error: 0.0080
Epoch 29/100
  1/126 [..............................] - ETA: 0s - loss: 4.4650e-05 - mean_absolute_error: 0.0059 23/126 [====>.........................] - ETA: 0s - loss: 4.0660e-05 - mean_absolute_error: 0.0050 45/126 [=========>....................] - ETA: 0s - loss: 3.7474e-05 - mean_absolute_error: 0.0047 67/126 [==============>...............] - ETA: 0s - loss: 3.8921e-05 - mean_absolute_error: 0.0048 89/126 [====================>.........] - ETA: 0s - loss: 4.2678e-05 - mean_absolute_error: 0.0050110/126 [=========================>....] - ETA: 0s - loss: 4.0979e-05 - mean_absolute_error: 0.0048126/126 [==============================] - 0s 3ms/step - loss: 4.0878e-05 - mean_absolute_error: 0.0048 - val_loss: 8.2899e-05 - val_mean_absolute_error: 0.0070
Epoch 30/100
  1/126 [..............................] - ETA: 0s - loss: 4.9858e-05 - mean_absolute_error: 0.0056 22/126 [====>.........................] - ETA: 0s - loss: 3.9391e-05 - mean_absolute_error: 0.0046 44/126 [=========>....................] - ETA: 0s - loss: 3.7968e-05 - mean_absolute_error: 0.0046 66/126 [==============>...............] - ETA: 0s - loss: 3.7613e-05 - mean_absolute_error: 0.0045 87/126 [===================>..........] - ETA: 0s - loss: 3.6655e-05 - mean_absolute_error: 0.0044108/126 [========================>.....] - ETA: 0s - loss: 3.6612e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 0s 3ms/step - loss: 3.6692e-05 - mean_absolute_error: 0.0044 - val_loss: 6.6116e-05 - val_mean_absolute_error: 0.0057
Epoch 31/100
  1/126 [..............................] - ETA: 0s - loss: 2.5106e-05 - mean_absolute_error: 0.0040 23/126 [====>.........................] - ETA: 0s - loss: 4.2141e-05 - mean_absolute_error: 0.0050 45/126 [=========>....................] - ETA: 0s - loss: 4.8111e-05 - mean_absolute_error: 0.0053 67/126 [==============>...............] - ETA: 0s - loss: 4.4957e-05 - mean_absolute_error: 0.0052 89/126 [====================>.........] - ETA: 0s - loss: 4.3724e-05 - mean_absolute_error: 0.0051111/126 [=========================>....] - ETA: 0s - loss: 4.1889e-05 - mean_absolute_error: 0.0049126/126 [==============================] - 0s 3ms/step - loss: 4.1003e-05 - mean_absolute_error: 0.0049 - val_loss: 6.5601e-05 - val_mean_absolute_error: 0.0054
Epoch 32/100
  1/126 [..............................] - ETA: 0s - loss: 4.1853e-05 - mean_absolute_error: 0.0049 23/126 [====>.........................] - ETA: 0s - loss: 3.4908e-05 - mean_absolute_error: 0.0045 44/126 [=========>....................] - ETA: 0s - loss: 3.6809e-05 - mean_absolute_error: 0.0045 66/126 [==============>...............] - ETA: 0s - loss: 4.3604e-05 - mean_absolute_error: 0.0049 87/126 [===================>..........] - ETA: 0s - loss: 4.4356e-05 - mean_absolute_error: 0.0050108/126 [========================>.....] - ETA: 0s - loss: 4.2579e-05 - mean_absolute_error: 0.0049126/126 [==============================] - 0s 3ms/step - loss: 4.2760e-05 - mean_absolute_error: 0.0049 - val_loss: 7.8797e-05 - val_mean_absolute_error: 0.0067
Epoch 33/100
  1/126 [..............................] - ETA: 0s - loss: 4.3986e-05 - mean_absolute_error: 0.0056 23/126 [====>.........................] - ETA: 0s - loss: 3.9043e-05 - mean_absolute_error: 0.0047 44/126 [=========>....................] - ETA: 0s - loss: 3.5329e-05 - mean_absolute_error: 0.0044 65/126 [==============>...............] - ETA: 0s - loss: 3.5577e-05 - mean_absolute_error: 0.0044 87/126 [===================>..........] - ETA: 0s - loss: 3.7664e-05 - mean_absolute_error: 0.0046109/126 [========================>.....] - ETA: 0s - loss: 4.1227e-05 - mean_absolute_error: 0.0049126/126 [==============================] - 0s 3ms/step - loss: 4.2306e-05 - mean_absolute_error: 0.0049 - val_loss: 9.1872e-05 - val_mean_absolute_error: 0.0076
Epoch 34/100
  1/126 [..............................] - ETA: 0s - loss: 4.5838e-05 - mean_absolute_error: 0.0059 22/126 [====>.........................] - ETA: 0s - loss: 4.0660e-05 - mean_absolute_error: 0.0049 43/126 [=========>....................] - ETA: 0s - loss: 4.0671e-05 - mean_absolute_error: 0.0047 65/126 [==============>...............] - ETA: 0s - loss: 4.2550e-05 - mean_absolute_error: 0.0049 87/126 [===================>..........] - ETA: 0s - loss: 4.3019e-05 - mean_absolute_error: 0.0049108/126 [========================>.....] - ETA: 0s - loss: 4.2200e-05 - mean_absolute_error: 0.0049126/126 [==============================] - 0s 3ms/step - loss: 4.1515e-05 - mean_absolute_error: 0.0049 - val_loss: 6.9283e-05 - val_mean_absolute_error: 0.0059
Epoch 35/100
  1/126 [..............................] - ETA: 0s - loss: 3.6824e-05 - mean_absolute_error: 0.0047 23/126 [====>.........................] - ETA: 0s - loss: 3.7121e-05 - mean_absolute_error: 0.0044 45/126 [=========>....................] - ETA: 0s - loss: 4.0605e-05 - mean_absolute_error: 0.0046 67/126 [==============>...............] - ETA: 0s - loss: 4.2966e-05 - mean_absolute_error: 0.0049 88/126 [===================>..........] - ETA: 0s - loss: 4.2407e-05 - mean_absolute_error: 0.0049109/126 [========================>.....] - ETA: 0s - loss: 4.1379e-05 - mean_absolute_error: 0.0049126/126 [==============================] - 0s 3ms/step - loss: 4.0327e-05 - mean_absolute_error: 0.0048 - val_loss: 7.0748e-05 - val_mean_absolute_error: 0.0061
Epoch 36/100
  1/126 [..............................] - ETA: 0s - loss: 2.8060e-05 - mean_absolute_error: 0.0042 22/126 [====>.........................] - ETA: 0s - loss: 3.9227e-05 - mean_absolute_error: 0.0047 43/126 [=========>....................] - ETA: 0s - loss: 3.9521e-05 - mean_absolute_error: 0.0047 61/126 [=============>................] - ETA: 0s - loss: 3.7169e-05 - mean_absolute_error: 0.0045 79/126 [=================>............] - ETA: 0s - loss: 3.7275e-05 - mean_absolute_error: 0.0045 98/126 [======================>.......] - ETA: 0s - loss: 3.8108e-05 - mean_absolute_error: 0.0046118/126 [===========================>..] - ETA: 0s - loss: 3.8774e-05 - mean_absolute_error: 0.0047126/126 [==============================] - 0s 3ms/step - loss: 3.9703e-05 - mean_absolute_error: 0.0047 - val_loss: 8.4014e-05 - val_mean_absolute_error: 0.0071
Epoch 37/100
  1/126 [..............................] - ETA: 0s - loss: 6.9098e-05 - mean_absolute_error: 0.0070 23/126 [====>.........................] - ETA: 0s - loss: 4.1441e-05 - mean_absolute_error: 0.0049 45/126 [=========>....................] - ETA: 0s - loss: 4.3907e-05 - mean_absolute_error: 0.0051 67/126 [==============>...............] - ETA: 0s - loss: 4.0161e-05 - mean_absolute_error: 0.0048 88/126 [===================>..........] - ETA: 0s - loss: 4.0019e-05 - mean_absolute_error: 0.0047109/126 [========================>.....] - ETA: 0s - loss: 4.2606e-05 - mean_absolute_error: 0.0049126/126 [==============================] - 0s 3ms/step - loss: 4.4263e-05 - mean_absolute_error: 0.0051 - val_loss: 6.7496e-05 - val_mean_absolute_error: 0.0057
Epoch 38/100
  1/126 [..............................] - ETA: 0s - loss: 3.7014e-05 - mean_absolute_error: 0.0047 22/126 [====>.........................] - ETA: 0s - loss: 3.3126e-05 - mean_absolute_error: 0.0043 44/126 [=========>....................] - ETA: 0s - loss: 3.3923e-05 - mean_absolute_error: 0.0043 66/126 [==============>...............] - ETA: 0s - loss: 3.7453e-05 - mean_absolute_error: 0.0046 88/126 [===================>..........] - ETA: 0s - loss: 4.0758e-05 - mean_absolute_error: 0.0048109/126 [========================>.....] - ETA: 0s - loss: 4.2594e-05 - mean_absolute_error: 0.0049126/126 [==============================] - 0s 3ms/step - loss: 4.1633e-05 - mean_absolute_error: 0.0049 - val_loss: 7.1734e-05 - val_mean_absolute_error: 0.0060
Epoch 39/100
  1/126 [..............................] - ETA: 0s - loss: 3.4761e-05 - mean_absolute_error: 0.0040 23/126 [====>.........................] - ETA: 0s - loss: 4.8619e-05 - mean_absolute_error: 0.0052 45/126 [=========>....................] - ETA: 0s - loss: 4.7527e-05 - mean_absolute_error: 0.0053 67/126 [==============>...............] - ETA: 0s - loss: 4.5168e-05 - mean_absolute_error: 0.0050 89/126 [====================>.........] - ETA: 0s - loss: 4.4497e-05 - mean_absolute_error: 0.0050111/126 [=========================>....] - ETA: 0s - loss: 4.2129e-05 - mean_absolute_error: 0.0048126/126 [==============================] - 0s 3ms/step - loss: 4.1422e-05 - mean_absolute_error: 0.0048 - val_loss: 6.6227e-05 - val_mean_absolute_error: 0.0055
Epoch 40/100
  1/126 [..............................] - ETA: 0s - loss: 3.1369e-05 - mean_absolute_error: 0.0040 22/126 [====>.........................] - ETA: 0s - loss: 4.6384e-05 - mean_absolute_error: 0.0053 44/126 [=========>....................] - ETA: 0s - loss: 4.4199e-05 - mean_absolute_error: 0.0051 65/126 [==============>...............] - ETA: 0s - loss: 4.2093e-05 - mean_absolute_error: 0.0050 86/126 [===================>..........] - ETA: 0s - loss: 4.3423e-05 - mean_absolute_error: 0.0051107/126 [========================>.....] - ETA: 0s - loss: 4.3973e-05 - mean_absolute_error: 0.0051126/126 [==============================] - 0s 3ms/step - loss: 4.3396e-05 - mean_absolute_error: 0.0050 - val_loss: 7.7338e-05 - val_mean_absolute_error: 0.0066
Epoch 41/100
  1/126 [..............................] - ETA: 0s - loss: 3.6557e-05 - mean_absolute_error: 0.0053 23/126 [====>.........................] - ETA: 0s - loss: 3.8099e-05 - mean_absolute_error: 0.0047 45/126 [=========>....................] - ETA: 0s - loss: 4.2248e-05 - mean_absolute_error: 0.0048 67/126 [==============>...............] - ETA: 0s - loss: 4.1240e-05 - mean_absolute_error: 0.0048 87/126 [===================>..........] - ETA: 0s - loss: 4.1518e-05 - mean_absolute_error: 0.0049108/126 [========================>.....] - ETA: 0s - loss: 3.9139e-05 - mean_absolute_error: 0.0047126/126 [==============================] - 0s 3ms/step - loss: 3.9803e-05 - mean_absolute_error: 0.0047 - val_loss: 1.2563e-04 - val_mean_absolute_error: 0.0088
Epoch 42/100
  1/126 [..............................] - ETA: 0s - loss: 6.0113e-05 - mean_absolute_error: 0.0063 23/126 [====>.........................] - ETA: 0s - loss: 5.8257e-05 - mean_absolute_error: 0.0062 45/126 [=========>....................] - ETA: 0s - loss: 5.4055e-05 - mean_absolute_error: 0.0058 67/126 [==============>...............] - ETA: 0s - loss: 4.8773e-05 - mean_absolute_error: 0.0055 89/126 [====================>.........] - ETA: 0s - loss: 4.7192e-05 - mean_absolute_error: 0.0053110/126 [=========================>....] - ETA: 0s - loss: 4.5753e-05 - mean_absolute_error: 0.0052126/126 [==============================] - 0s 3ms/step - loss: 4.4544e-05 - mean_absolute_error: 0.0051 - val_loss: 6.5502e-05 - val_mean_absolute_error: 0.0055
Epoch 43/100
  1/126 [..............................] - ETA: 0s - loss: 2.3661e-05 - mean_absolute_error: 0.0031 23/126 [====>.........................] - ETA: 0s - loss: 3.3763e-05 - mean_absolute_error: 0.0045 45/126 [=========>....................] - ETA: 0s - loss: 4.1685e-05 - mean_absolute_error: 0.0050 67/126 [==============>...............] - ETA: 0s - loss: 4.2818e-05 - mean_absolute_error: 0.0051 89/126 [====================>.........] - ETA: 0s - loss: 4.2088e-05 - mean_absolute_error: 0.0049109/126 [========================>.....] - ETA: 0s - loss: 4.0531e-05 - mean_absolute_error: 0.0048126/126 [==============================] - 0s 3ms/step - loss: 4.0436e-05 - mean_absolute_error: 0.0048 - val_loss: 6.8631e-05 - val_mean_absolute_error: 0.0060
Epoch 44/100
  1/126 [..............................] - ETA: 0s - loss: 2.5348e-05 - mean_absolute_error: 0.0039 22/126 [====>.........................] - ETA: 0s - loss: 4.0431e-05 - mean_absolute_error: 0.0048 44/126 [=========>....................] - ETA: 0s - loss: 4.0064e-05 - mean_absolute_error: 0.0047 66/126 [==============>...............] - ETA: 0s - loss: 3.8512e-05 - mean_absolute_error: 0.0046 88/126 [===================>..........] - ETA: 0s - loss: 3.9369e-05 - mean_absolute_error: 0.0047109/126 [========================>.....] - ETA: 0s - loss: 4.0596e-05 - mean_absolute_error: 0.0048126/126 [==============================] - 0s 3ms/step - loss: 4.0576e-05 - mean_absolute_error: 0.0048 - val_loss: 1.4560e-04 - val_mean_absolute_error: 0.0098
Epoch 45/100
  1/126 [..............................] - ETA: 0s - loss: 7.1391e-05 - mean_absolute_error: 0.0071 22/126 [====>.........................] - ETA: 0s - loss: 5.1454e-05 - mean_absolute_error: 0.0058 44/126 [=========>....................] - ETA: 0s - loss: 4.6579e-05 - mean_absolute_error: 0.0054 66/126 [==============>...............] - ETA: 0s - loss: 4.5179e-05 - mean_absolute_error: 0.0052 88/126 [===================>..........] - ETA: 0s - loss: 4.4065e-05 - mean_absolute_error: 0.0051109/126 [========================>.....] - ETA: 0s - loss: 4.3857e-05 - mean_absolute_error: 0.0051126/126 [==============================] - 0s 3ms/step - loss: 4.4143e-05 - mean_absolute_error: 0.0051 - val_loss: 8.6550e-05 - val_mean_absolute_error: 0.0069
Epoch 46/100
  1/126 [..............................] - ETA: 0s - loss: 8.8423e-05 - mean_absolute_error: 0.0063 20/126 [===>..........................] - ETA: 0s - loss: 4.0356e-05 - mean_absolute_error: 0.0048 39/126 [========>.....................] - ETA: 0s - loss: 3.5969e-05 - mean_absolute_error: 0.0045 61/126 [=============>................] - ETA: 0s - loss: 3.6956e-05 - mean_absolute_error: 0.0046 81/126 [==================>...........] - ETA: 0s - loss: 4.1720e-05 - mean_absolute_error: 0.0049102/126 [=======================>......] - ETA: 0s - loss: 4.1184e-05 - mean_absolute_error: 0.0048123/126 [============================>.] - ETA: 0s - loss: 3.9837e-05 - mean_absolute_error: 0.0048126/126 [==============================] - 0s 3ms/step - loss: 4.0266e-05 - mean_absolute_error: 0.0048 - val_loss: 8.6748e-05 - val_mean_absolute_error: 0.0073
Epoch 47/100
  1/126 [..............................] - ETA: 0s - loss: 3.2821e-05 - mean_absolute_error: 0.0046 22/126 [====>.........................] - ETA: 0s - loss: 4.5927e-05 - mean_absolute_error: 0.0053 43/126 [=========>....................] - ETA: 0s - loss: 4.1802e-05 - mean_absolute_error: 0.0050 64/126 [==============>...............] - ETA: 0s - loss: 4.0551e-05 - mean_absolute_error: 0.0048 85/126 [===================>..........] - ETA: 0s - loss: 3.9775e-05 - mean_absolute_error: 0.0048107/126 [========================>.....] - ETA: 0s - loss: 4.1516e-05 - mean_absolute_error: 0.0049126/126 [==============================] - 0s 3ms/step - loss: 4.0419e-05 - mean_absolute_error: 0.0048 - val_loss: 8.5289e-05 - val_mean_absolute_error: 0.0072
Epoch 48/100
  1/126 [..............................] - ETA: 0s - loss: 4.5403e-05 - mean_absolute_error: 0.0055 23/126 [====>.........................] - ETA: 0s - loss: 5.4179e-05 - mean_absolute_error: 0.0058 45/126 [=========>....................] - ETA: 0s - loss: 5.1919e-05 - mean_absolute_error: 0.0056 66/126 [==============>...............] - ETA: 0s - loss: 4.8413e-05 - mean_absolute_error: 0.0054 86/126 [===================>..........] - ETA: 0s - loss: 4.4614e-05 - mean_absolute_error: 0.0051107/126 [========================>.....] - ETA: 0s - loss: 4.2697e-05 - mean_absolute_error: 0.0049126/126 [==============================] - 0s 3ms/step - loss: 4.2145e-05 - mean_absolute_error: 0.0049 - val_loss: 6.6828e-05 - val_mean_absolute_error: 0.0058
Epoch 49/100
  1/126 [..............................] - ETA: 0s - loss: 1.6543e-05 - mean_absolute_error: 0.0027 23/126 [====>.........................] - ETA: 0s - loss: 4.1931e-05 - mean_absolute_error: 0.0050 45/126 [=========>....................] - ETA: 0s - loss: 4.1976e-05 - mean_absolute_error: 0.0050 67/126 [==============>...............] - ETA: 0s - loss: 3.9664e-05 - mean_absolute_error: 0.0048 89/126 [====================>.........] - ETA: 0s - loss: 3.9224e-05 - mean_absolute_error: 0.0047111/126 [=========================>....] - ETA: 0s - loss: 3.9119e-05 - mean_absolute_error: 0.0046126/126 [==============================] - 0s 3ms/step - loss: 3.8825e-05 - mean_absolute_error: 0.0046 - val_loss: 6.6686e-05 - val_mean_absolute_error: 0.0057
Epoch 50/100
  1/126 [..............................] - ETA: 0s - loss: 2.9896e-05 - mean_absolute_error: 0.0043 23/126 [====>.........................] - ETA: 0s - loss: 4.2487e-05 - mean_absolute_error: 0.0049 45/126 [=========>....................] - ETA: 0s - loss: 3.7656e-05 - mean_absolute_error: 0.0046 67/126 [==============>...............] - ETA: 0s - loss: 3.6905e-05 - mean_absolute_error: 0.0046 89/126 [====================>.........] - ETA: 0s - loss: 3.6719e-05 - mean_absolute_error: 0.0045111/126 [=========================>....] - ETA: 0s - loss: 3.7652e-05 - mean_absolute_error: 0.0046126/126 [==============================] - 0s 3ms/step - loss: 3.7963e-05 - mean_absolute_error: 0.0046 - val_loss: 6.5895e-05 - val_mean_absolute_error: 0.0056
Epoch 51/100
  1/126 [..............................] - ETA: 0s - loss: 2.4016e-05 - mean_absolute_error: 0.0037 23/126 [====>.........................] - ETA: 0s - loss: 3.8351e-05 - mean_absolute_error: 0.0045 45/126 [=========>....................] - ETA: 0s - loss: 3.7819e-05 - mean_absolute_error: 0.0045 67/126 [==============>...............] - ETA: 0s - loss: 3.8688e-05 - mean_absolute_error: 0.0046 88/126 [===================>..........] - ETA: 0s - loss: 3.8933e-05 - mean_absolute_error: 0.0047109/126 [========================>.....] - ETA: 0s - loss: 4.1137e-05 - mean_absolute_error: 0.0048126/126 [==============================] - 0s 3ms/step - loss: 4.1108e-05 - mean_absolute_error: 0.0048 - val_loss: 8.3339e-05 - val_mean_absolute_error: 0.0068
Epoch 52/100
  1/126 [..............................] - ETA: 0s - loss: 4.8679e-05 - mean_absolute_error: 0.0059 23/126 [====>.........................] - ETA: 0s - loss: 4.4062e-05 - mean_absolute_error: 0.0051 45/126 [=========>....................] - ETA: 0s - loss: 3.9841e-05 - mean_absolute_error: 0.0048 67/126 [==============>...............] - ETA: 0s - loss: 3.8711e-05 - mean_absolute_error: 0.0047 89/126 [====================>.........] - ETA: 0s - loss: 4.0704e-05 - mean_absolute_error: 0.0048111/126 [=========================>....] - ETA: 0s - loss: 4.3608e-05 - mean_absolute_error: 0.0050126/126 [==============================] - 0s 3ms/step - loss: 4.2854e-05 - mean_absolute_error: 0.0050 - val_loss: 6.5047e-05 - val_mean_absolute_error: 0.0057
Epoch 53/100
  1/126 [..............................] - ETA: 0s - loss: 1.6351e-05 - mean_absolute_error: 0.0029 21/126 [====>.........................] - ETA: 0s - loss: 4.7275e-05 - mean_absolute_error: 0.0052 43/126 [=========>....................] - ETA: 0s - loss: 4.8114e-05 - mean_absolute_error: 0.0053 65/126 [==============>...............] - ETA: 0s - loss: 4.4078e-05 - mean_absolute_error: 0.0050 86/126 [===================>..........] - ETA: 0s - loss: 4.3894e-05 - mean_absolute_error: 0.0050107/126 [========================>.....] - ETA: 0s - loss: 4.1925e-05 - mean_absolute_error: 0.0049126/126 [==============================] - 0s 3ms/step - loss: 4.0201e-05 - mean_absolute_error: 0.0047 - val_loss: 6.4247e-05 - val_mean_absolute_error: 0.0054
Epoch 54/100
  1/126 [..............................] - ETA: 0s - loss: 5.5913e-05 - mean_absolute_error: 0.0046 22/126 [====>.........................] - ETA: 0s - loss: 3.5682e-05 - mean_absolute_error: 0.0043 43/126 [=========>....................] - ETA: 0s - loss: 3.8080e-05 - mean_absolute_error: 0.0047 64/126 [==============>...............] - ETA: 0s - loss: 4.1649e-05 - mean_absolute_error: 0.0049 84/126 [===================>..........] - ETA: 0s - loss: 4.5702e-05 - mean_absolute_error: 0.0052105/126 [========================>.....] - ETA: 0s - loss: 4.4743e-05 - mean_absolute_error: 0.0051126/126 [==============================] - ETA: 0s - loss: 4.2978e-05 - mean_absolute_error: 0.0049126/126 [==============================] - 0s 3ms/step - loss: 4.2978e-05 - mean_absolute_error: 0.0049 - val_loss: 6.8094e-05 - val_mean_absolute_error: 0.0058
Epoch 55/100
  1/126 [..............................] - ETA: 0s - loss: 3.4636e-05 - mean_absolute_error: 0.0045 23/126 [====>.........................] - ETA: 0s - loss: 4.1000e-05 - mean_absolute_error: 0.0047 45/126 [=========>....................] - ETA: 0s - loss: 3.7816e-05 - mean_absolute_error: 0.0045 67/126 [==============>...............] - ETA: 0s - loss: 3.6691e-05 - mean_absolute_error: 0.0044 89/126 [====================>.........] - ETA: 0s - loss: 3.5875e-05 - mean_absolute_error: 0.0044110/126 [=========================>....] - ETA: 0s - loss: 3.7406e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 0s 3ms/step - loss: 3.7899e-05 - mean_absolute_error: 0.0046 - val_loss: 7.8153e-05 - val_mean_absolute_error: 0.0065
Epoch 56/100
  1/126 [..............................] - ETA: 0s - loss: 2.6326e-05 - mean_absolute_error: 0.0041 22/126 [====>.........................] - ETA: 0s - loss: 3.1987e-05 - mean_absolute_error: 0.0042 43/126 [=========>....................] - ETA: 0s - loss: 3.5621e-05 - mean_absolute_error: 0.0045 65/126 [==============>...............] - ETA: 0s - loss: 3.7881e-05 - mean_absolute_error: 0.0047 86/126 [===================>..........] - ETA: 0s - loss: 3.7183e-05 - mean_absolute_error: 0.0046106/126 [========================>.....] - ETA: 0s - loss: 3.6236e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 0s 3ms/step - loss: 3.6864e-05 - mean_absolute_error: 0.0046 - val_loss: 8.0206e-05 - val_mean_absolute_error: 0.0066
Epoch 57/100
  1/126 [..............................] - ETA: 0s - loss: 4.6483e-05 - mean_absolute_error: 0.0050 22/126 [====>.........................] - ETA: 0s - loss: 4.7895e-05 - mean_absolute_error: 0.0052 43/126 [=========>....................] - ETA: 0s - loss: 4.2909e-05 - mean_absolute_error: 0.0049 64/126 [==============>...............] - ETA: 0s - loss: 4.8029e-05 - mean_absolute_error: 0.0053 86/126 [===================>..........] - ETA: 0s - loss: 5.1904e-05 - mean_absolute_error: 0.0056106/126 [========================>.....] - ETA: 0s - loss: 4.9449e-05 - mean_absolute_error: 0.0055126/126 [==============================] - 0s 3ms/step - loss: 4.7747e-05 - mean_absolute_error: 0.0053 - val_loss: 6.4395e-05 - val_mean_absolute_error: 0.0055
Epoch 58/100
  1/126 [..............................] - ETA: 0s - loss: 2.1579e-05 - mean_absolute_error: 0.0031 23/126 [====>.........................] - ETA: 0s - loss: 3.7707e-05 - mean_absolute_error: 0.0047 45/126 [=========>....................] - ETA: 0s - loss: 3.6983e-05 - mean_absolute_error: 0.0046 67/126 [==============>...............] - ETA: 0s - loss: 3.5865e-05 - mean_absolute_error: 0.0045 89/126 [====================>.........] - ETA: 0s - loss: 3.6587e-05 - mean_absolute_error: 0.0045111/126 [=========================>....] - ETA: 0s - loss: 3.7029e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 0s 3ms/step - loss: 3.6601e-05 - mean_absolute_error: 0.0045 - val_loss: 6.5400e-05 - val_mean_absolute_error: 0.0056
Epoch 59/100
  1/126 [..............................] - ETA: 0s - loss: 4.7583e-05 - mean_absolute_error: 0.0051 23/126 [====>.........................] - ETA: 0s - loss: 3.6661e-05 - mean_absolute_error: 0.0045 45/126 [=========>....................] - ETA: 0s - loss: 3.7026e-05 - mean_absolute_error: 0.0043 67/126 [==============>...............] - ETA: 0s - loss: 3.9628e-05 - mean_absolute_error: 0.0047 88/126 [===================>..........] - ETA: 0s - loss: 4.0384e-05 - mean_absolute_error: 0.0048109/126 [========================>.....] - ETA: 0s - loss: 3.9544e-05 - mean_absolute_error: 0.0047126/126 [==============================] - 0s 3ms/step - loss: 4.0103e-05 - mean_absolute_error: 0.0048 - val_loss: 9.5409e-05 - val_mean_absolute_error: 0.0075
Epoch 60/100
  1/126 [..............................] - ETA: 0s - loss: 3.7714e-05 - mean_absolute_error: 0.0053 23/126 [====>.........................] - ETA: 0s - loss: 5.6508e-05 - mean_absolute_error: 0.0061 45/126 [=========>....................] - ETA: 0s - loss: 6.1940e-05 - mean_absolute_error: 0.0063 67/126 [==============>...............] - ETA: 0s - loss: 5.4517e-05 - mean_absolute_error: 0.0058 88/126 [===================>..........] - ETA: 0s - loss: 5.3224e-05 - mean_absolute_error: 0.0057110/126 [=========================>....] - ETA: 0s - loss: 4.8443e-05 - mean_absolute_error: 0.0054126/126 [==============================] - 0s 3ms/step - loss: 4.6820e-05 - mean_absolute_error: 0.0053 - val_loss: 9.0087e-05 - val_mean_absolute_error: 0.0072
Epoch 61/100
  1/126 [..............................] - ETA: 0s - loss: 3.6837e-05 - mean_absolute_error: 0.0053 23/126 [====>.........................] - ETA: 0s - loss: 4.4031e-05 - mean_absolute_error: 0.0050 44/126 [=========>....................] - ETA: 0s - loss: 4.5504e-05 - mean_absolute_error: 0.0052 66/126 [==============>...............] - ETA: 0s - loss: 4.1444e-05 - mean_absolute_error: 0.0048 88/126 [===================>..........] - ETA: 0s - loss: 4.2508e-05 - mean_absolute_error: 0.0049110/126 [=========================>....] - ETA: 0s - loss: 4.1330e-05 - mean_absolute_error: 0.0048126/126 [==============================] - 0s 3ms/step - loss: 4.1326e-05 - mean_absolute_error: 0.0048 - val_loss: 8.1730e-05 - val_mean_absolute_error: 0.0070
Epoch 62/100
  1/126 [..............................] - ETA: 0s - loss: 2.9870e-05 - mean_absolute_error: 0.0043 23/126 [====>.........................] - ETA: 0s - loss: 3.6876e-05 - mean_absolute_error: 0.0046 45/126 [=========>....................] - ETA: 0s - loss: 4.3135e-05 - mean_absolute_error: 0.0051 67/126 [==============>...............] - ETA: 0s - loss: 4.3335e-05 - mean_absolute_error: 0.0050 88/126 [===================>..........] - ETA: 0s - loss: 4.2362e-05 - mean_absolute_error: 0.0050109/126 [========================>.....] - ETA: 0s - loss: 4.1520e-05 - mean_absolute_error: 0.0049126/126 [==============================] - 0s 3ms/step - loss: 4.1399e-05 - mean_absolute_error: 0.0049 - val_loss: 7.4635e-05 - val_mean_absolute_error: 0.0063
Epoch 63/100
  1/126 [..............................] - ETA: 0s - loss: 3.0923e-05 - mean_absolute_error: 0.0044 23/126 [====>.........................] - ETA: 0s - loss: 3.3626e-05 - mean_absolute_error: 0.0042 45/126 [=========>....................] - ETA: 0s - loss: 3.6705e-05 - mean_absolute_error: 0.0044 67/126 [==============>...............] - ETA: 0s - loss: 3.5107e-05 - mean_absolute_error: 0.0044 88/126 [===================>..........] - ETA: 0s - loss: 3.5143e-05 - mean_absolute_error: 0.0044109/126 [========================>.....] - ETA: 0s - loss: 3.5878e-05 - mean_absolute_error: 0.0044126/126 [==============================] - 0s 3ms/step - loss: 3.7995e-05 - mean_absolute_error: 0.0045 - val_loss: 7.7299e-05 - val_mean_absolute_error: 0.0064
Epoch 64/100
  1/126 [..............................] - ETA: 0s - loss: 9.4389e-05 - mean_absolute_error: 0.0068 23/126 [====>.........................] - ETA: 0s - loss: 4.4925e-05 - mean_absolute_error: 0.0050 44/126 [=========>....................] - ETA: 0s - loss: 4.1947e-05 - mean_absolute_error: 0.0049 66/126 [==============>...............] - ETA: 0s - loss: 3.8291e-05 - mean_absolute_error: 0.0046 87/126 [===================>..........] - ETA: 0s - loss: 3.7031e-05 - mean_absolute_error: 0.0045108/126 [========================>.....] - ETA: 0s - loss: 3.8400e-05 - mean_absolute_error: 0.0046126/126 [==============================] - 0s 3ms/step - loss: 4.0641e-05 - mean_absolute_error: 0.0047 - val_loss: 6.3130e-05 - val_mean_absolute_error: 0.0054
Epoch 65/100
  1/126 [..............................] - ETA: 0s - loss: 3.7011e-05 - mean_absolute_error: 0.0034 22/126 [====>.........................] - ETA: 0s - loss: 3.4982e-05 - mean_absolute_error: 0.0044 43/126 [=========>....................] - ETA: 0s - loss: 3.9341e-05 - mean_absolute_error: 0.0047 64/126 [==============>...............] - ETA: 0s - loss: 4.0610e-05 - mean_absolute_error: 0.0048 85/126 [===================>..........] - ETA: 0s - loss: 3.8065e-05 - mean_absolute_error: 0.0046106/126 [========================>.....] - ETA: 0s - loss: 3.7021e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 0s 3ms/step - loss: 3.8185e-05 - mean_absolute_error: 0.0046 - val_loss: 7.9553e-05 - val_mean_absolute_error: 0.0069
Epoch 66/100
  1/126 [..............................] - ETA: 0s - loss: 4.0124e-05 - mean_absolute_error: 0.0051 23/126 [====>.........................] - ETA: 0s - loss: 4.2229e-05 - mean_absolute_error: 0.0049 43/126 [=========>....................] - ETA: 0s - loss: 3.9562e-05 - mean_absolute_error: 0.0047 63/126 [==============>...............] - ETA: 0s - loss: 3.9377e-05 - mean_absolute_error: 0.0047 84/126 [===================>..........] - ETA: 0s - loss: 4.6388e-05 - mean_absolute_error: 0.0052105/126 [========================>.....] - ETA: 0s - loss: 4.5431e-05 - mean_absolute_error: 0.0051126/126 [==============================] - 0s 3ms/step - loss: 4.3307e-05 - mean_absolute_error: 0.0050 - val_loss: 6.8921e-05 - val_mean_absolute_error: 0.0061
Epoch 67/100
  1/126 [..............................] - ETA: 0s - loss: 1.9079e-05 - mean_absolute_error: 0.0038 23/126 [====>.........................] - ETA: 0s - loss: 3.0139e-05 - mean_absolute_error: 0.0042 45/126 [=========>....................] - ETA: 0s - loss: 3.8054e-05 - mean_absolute_error: 0.0047 67/126 [==============>...............] - ETA: 0s - loss: 4.4177e-05 - mean_absolute_error: 0.0052 89/126 [====================>.........] - ETA: 0s - loss: 4.7792e-05 - mean_absolute_error: 0.0054110/126 [=========================>....] - ETA: 0s - loss: 4.6024e-05 - mean_absolute_error: 0.0052126/126 [==============================] - 0s 3ms/step - loss: 4.3727e-05 - mean_absolute_error: 0.0051 - val_loss: 6.5962e-05 - val_mean_absolute_error: 0.0057
Epoch 68/100
  1/126 [..............................] - ETA: 0s - loss: 4.8046e-05 - mean_absolute_error: 0.0053 23/126 [====>.........................] - ETA: 0s - loss: 4.0184e-05 - mean_absolute_error: 0.0048 45/126 [=========>....................] - ETA: 0s - loss: 3.8854e-05 - mean_absolute_error: 0.0047 67/126 [==============>...............] - ETA: 0s - loss: 3.8336e-05 - mean_absolute_error: 0.0047 88/126 [===================>..........] - ETA: 0s - loss: 4.4468e-05 - mean_absolute_error: 0.0051109/126 [========================>.....] - ETA: 0s - loss: 4.4396e-05 - mean_absolute_error: 0.0051126/126 [==============================] - 0s 3ms/step - loss: 4.5106e-05 - mean_absolute_error: 0.0052 - val_loss: 7.7957e-05 - val_mean_absolute_error: 0.0065
Epoch 69/100
  1/126 [..............................] - ETA: 0s - loss: 4.4028e-05 - mean_absolute_error: 0.0050 22/126 [====>.........................] - ETA: 0s - loss: 3.5021e-05 - mean_absolute_error: 0.0045 43/126 [=========>....................] - ETA: 0s - loss: 3.4650e-05 - mean_absolute_error: 0.0044 64/126 [==============>...............] - ETA: 0s - loss: 3.4567e-05 - mean_absolute_error: 0.0045 85/126 [===================>..........] - ETA: 0s - loss: 3.5785e-05 - mean_absolute_error: 0.0045106/126 [========================>.....] - ETA: 0s - loss: 3.7826e-05 - mean_absolute_error: 0.0046126/126 [==============================] - 0s 3ms/step - loss: 4.1607e-05 - mean_absolute_error: 0.0049 - val_loss: 1.0551e-04 - val_mean_absolute_error: 0.0084
Epoch 70/100
  1/126 [..............................] - ETA: 0s - loss: 7.0744e-05 - mean_absolute_error: 0.0071 23/126 [====>.........................] - ETA: 0s - loss: 5.3026e-05 - mean_absolute_error: 0.0056 45/126 [=========>....................] - ETA: 0s - loss: 4.1976e-05 - mean_absolute_error: 0.0048 66/126 [==============>...............] - ETA: 0s - loss: 3.9655e-05 - mean_absolute_error: 0.0047 87/126 [===================>..........] - ETA: 0s - loss: 3.9447e-05 - mean_absolute_error: 0.0047108/126 [========================>.....] - ETA: 0s - loss: 4.1971e-05 - mean_absolute_error: 0.0049126/126 [==============================] - 0s 3ms/step - loss: 4.1268e-05 - mean_absolute_error: 0.0048 - val_loss: 8.7992e-05 - val_mean_absolute_error: 0.0074
Epoch 71/100
  1/126 [..............................] - ETA: 0s - loss: 4.4708e-05 - mean_absolute_error: 0.0054 23/126 [====>.........................] - ETA: 0s - loss: 5.1773e-05 - mean_absolute_error: 0.0056 45/126 [=========>....................] - ETA: 0s - loss: 5.2634e-05 - mean_absolute_error: 0.0057 67/126 [==============>...............] - ETA: 0s - loss: 4.8088e-05 - mean_absolute_error: 0.0054 88/126 [===================>..........] - ETA: 0s - loss: 4.5858e-05 - mean_absolute_error: 0.0052109/126 [========================>.....] - ETA: 0s - loss: 4.2723e-05 - mean_absolute_error: 0.0050126/126 [==============================] - 0s 3ms/step - loss: 4.2064e-05 - mean_absolute_error: 0.0049 - val_loss: 7.4003e-05 - val_mean_absolute_error: 0.0063
Epoch 72/100
  1/126 [..............................] - ETA: 0s - loss: 3.4978e-05 - mean_absolute_error: 0.0048 22/126 [====>.........................] - ETA: 0s - loss: 4.0439e-05 - mean_absolute_error: 0.0048 44/126 [=========>....................] - ETA: 0s - loss: 3.6055e-05 - mean_absolute_error: 0.0044 66/126 [==============>...............] - ETA: 0s - loss: 4.0598e-05 - mean_absolute_error: 0.0048 88/126 [===================>..........] - ETA: 0s - loss: 3.8459e-05 - mean_absolute_error: 0.0046109/126 [========================>.....] - ETA: 0s - loss: 3.8288e-05 - mean_absolute_error: 0.0046126/126 [==============================] - 0s 3ms/step - loss: 3.8008e-05 - mean_absolute_error: 0.0046 - val_loss: 7.4252e-05 - val_mean_absolute_error: 0.0063
Epoch 73/100
  1/126 [..............................] - ETA: 0s - loss: 5.9839e-05 - mean_absolute_error: 0.0059 23/126 [====>.........................] - ETA: 0s - loss: 4.4423e-05 - mean_absolute_error: 0.0049 44/126 [=========>....................] - ETA: 0s - loss: 3.9914e-05 - mean_absolute_error: 0.0048 66/126 [==============>...............] - ETA: 0s - loss: 3.8115e-05 - mean_absolute_error: 0.0047 88/126 [===================>..........] - ETA: 0s - loss: 3.8787e-05 - mean_absolute_error: 0.0047110/126 [=========================>....] - ETA: 0s - loss: 3.8391e-05 - mean_absolute_error: 0.0047126/126 [==============================] - 0s 3ms/step - loss: 3.8262e-05 - mean_absolute_error: 0.0047 - val_loss: 6.2586e-05 - val_mean_absolute_error: 0.0055
Epoch 74/100
  1/126 [..............................] - ETA: 0s - loss: 1.7452e-05 - mean_absolute_error: 0.0029 22/126 [====>.........................] - ETA: 0s - loss: 3.3387e-05 - mean_absolute_error: 0.0043 44/126 [=========>....................] - ETA: 0s - loss: 3.4198e-05 - mean_absolute_error: 0.0044 65/126 [==============>...............] - ETA: 0s - loss: 3.5340e-05 - mean_absolute_error: 0.0044 87/126 [===================>..........] - ETA: 0s - loss: 3.4386e-05 - mean_absolute_error: 0.0043108/126 [========================>.....] - ETA: 0s - loss: 3.4531e-05 - mean_absolute_error: 0.0043126/126 [==============================] - 0s 3ms/step - loss: 3.4766e-05 - mean_absolute_error: 0.0043 - val_loss: 6.0939e-05 - val_mean_absolute_error: 0.0053
Epoch 75/100
  1/126 [..............................] - ETA: 0s - loss: 4.2114e-05 - mean_absolute_error: 0.0047 22/126 [====>.........................] - ETA: 0s - loss: 3.9487e-05 - mean_absolute_error: 0.0049 44/126 [=========>....................] - ETA: 0s - loss: 3.6451e-05 - mean_absolute_error: 0.0047 65/126 [==============>...............] - ETA: 0s - loss: 3.7545e-05 - mean_absolute_error: 0.0047 86/126 [===================>..........] - ETA: 0s - loss: 3.8069e-05 - mean_absolute_error: 0.0047107/126 [========================>.....] - ETA: 0s - loss: 4.0897e-05 - mean_absolute_error: 0.0049126/126 [==============================] - 0s 3ms/step - loss: 3.9692e-05 - mean_absolute_error: 0.0048 - val_loss: 6.1380e-05 - val_mean_absolute_error: 0.0053
Epoch 76/100
  1/126 [..............................] - ETA: 0s - loss: 3.8021e-05 - mean_absolute_error: 0.0044 22/126 [====>.........................] - ETA: 0s - loss: 3.4564e-05 - mean_absolute_error: 0.0045 43/126 [=========>....................] - ETA: 0s - loss: 3.4714e-05 - mean_absolute_error: 0.0043 64/126 [==============>...............] - ETA: 0s - loss: 3.4429e-05 - mean_absolute_error: 0.0043 86/126 [===================>..........] - ETA: 0s - loss: 3.4136e-05 - mean_absolute_error: 0.0043108/126 [========================>.....] - ETA: 0s - loss: 3.5051e-05 - mean_absolute_error: 0.0043126/126 [==============================] - 0s 3ms/step - loss: 3.5111e-05 - mean_absolute_error: 0.0043 - val_loss: 6.1023e-05 - val_mean_absolute_error: 0.0053
Epoch 77/100
  1/126 [..............................] - ETA: 0s - loss: 3.1327e-05 - mean_absolute_error: 0.0038 23/126 [====>.........................] - ETA: 0s - loss: 3.5810e-05 - mean_absolute_error: 0.0044 45/126 [=========>....................] - ETA: 0s - loss: 3.7781e-05 - mean_absolute_error: 0.0045 67/126 [==============>...............] - ETA: 0s - loss: 3.8535e-05 - mean_absolute_error: 0.0046 89/126 [====================>.........] - ETA: 0s - loss: 3.8911e-05 - mean_absolute_error: 0.0047110/126 [=========================>....] - ETA: 0s - loss: 3.8241e-05 - mean_absolute_error: 0.0046126/126 [==============================] - 0s 3ms/step - loss: 3.7473e-05 - mean_absolute_error: 0.0046 - val_loss: 6.8495e-05 - val_mean_absolute_error: 0.0059
Epoch 78/100
  1/126 [..............................] - ETA: 0s - loss: 3.0289e-05 - mean_absolute_error: 0.0045 23/126 [====>.........................] - ETA: 0s - loss: 3.1801e-05 - mean_absolute_error: 0.0043 45/126 [=========>....................] - ETA: 0s - loss: 3.5698e-05 - mean_absolute_error: 0.0044 67/126 [==============>...............] - ETA: 0s - loss: 3.4996e-05 - mean_absolute_error: 0.0043 89/126 [====================>.........] - ETA: 0s - loss: 3.7444e-05 - mean_absolute_error: 0.0045111/126 [=========================>....] - ETA: 0s - loss: 4.0314e-05 - mean_absolute_error: 0.0048126/126 [==============================] - 0s 3ms/step - loss: 3.9848e-05 - mean_absolute_error: 0.0047 - val_loss: 9.9171e-05 - val_mean_absolute_error: 0.0077
Epoch 79/100
  1/126 [..............................] - ETA: 0s - loss: 5.7980e-05 - mean_absolute_error: 0.0066 23/126 [====>.........................] - ETA: 0s - loss: 3.9074e-05 - mean_absolute_error: 0.0048 45/126 [=========>....................] - ETA: 0s - loss: 3.7200e-05 - mean_absolute_error: 0.0046 67/126 [==============>...............] - ETA: 0s - loss: 3.8888e-05 - mean_absolute_error: 0.0047 89/126 [====================>.........] - ETA: 0s - loss: 3.9018e-05 - mean_absolute_error: 0.0048111/126 [=========================>....] - ETA: 0s - loss: 4.1473e-05 - mean_absolute_error: 0.0049126/126 [==============================] - 0s 3ms/step - loss: 4.0528e-05 - mean_absolute_error: 0.0048 - val_loss: 6.0721e-05 - val_mean_absolute_error: 0.0053
Epoch 80/100
  1/126 [..............................] - ETA: 0s - loss: 3.4129e-05 - mean_absolute_error: 0.0040 23/126 [====>.........................] - ETA: 0s - loss: 3.8829e-05 - mean_absolute_error: 0.0046 45/126 [=========>....................] - ETA: 0s - loss: 4.3220e-05 - mean_absolute_error: 0.0050 66/126 [==============>...............] - ETA: 0s - loss: 4.2228e-05 - mean_absolute_error: 0.0049 88/126 [===================>..........] - ETA: 0s - loss: 4.2452e-05 - mean_absolute_error: 0.0050109/126 [========================>.....] - ETA: 0s - loss: 4.2993e-05 - mean_absolute_error: 0.0050126/126 [==============================] - 0s 3ms/step - loss: 4.2651e-05 - mean_absolute_error: 0.0050 - val_loss: 8.3948e-05 - val_mean_absolute_error: 0.0072
Epoch 81/100
  1/126 [..............................] - ETA: 0s - loss: 5.8735e-05 - mean_absolute_error: 0.0063 23/126 [====>.........................] - ETA: 0s - loss: 3.4979e-05 - mean_absolute_error: 0.0043 45/126 [=========>....................] - ETA: 0s - loss: 3.8628e-05 - mean_absolute_error: 0.0046 67/126 [==============>...............] - ETA: 0s - loss: 3.6855e-05 - mean_absolute_error: 0.0045 89/126 [====================>.........] - ETA: 0s - loss: 3.5408e-05 - mean_absolute_error: 0.0044110/126 [=========================>....] - ETA: 0s - loss: 3.5151e-05 - mean_absolute_error: 0.0043126/126 [==============================] - 0s 3ms/step - loss: 3.5429e-05 - mean_absolute_error: 0.0044 - val_loss: 7.3773e-05 - val_mean_absolute_error: 0.0063
Epoch 82/100
  1/126 [..............................] - ETA: 0s - loss: 4.3450e-05 - mean_absolute_error: 0.0053 23/126 [====>.........................] - ETA: 0s - loss: 3.0248e-05 - mean_absolute_error: 0.0041 45/126 [=========>....................] - ETA: 0s - loss: 3.3540e-05 - mean_absolute_error: 0.0042 67/126 [==============>...............] - ETA: 0s - loss: 3.4256e-05 - mean_absolute_error: 0.0043 88/126 [===================>..........] - ETA: 0s - loss: 3.7283e-05 - mean_absolute_error: 0.0045109/126 [========================>.....] - ETA: 0s - loss: 3.9047e-05 - mean_absolute_error: 0.0047126/126 [==============================] - 0s 3ms/step - loss: 3.8584e-05 - mean_absolute_error: 0.0046 - val_loss: 1.2357e-04 - val_mean_absolute_error: 0.0089
Epoch 83/100
  1/126 [..............................] - ETA: 0s - loss: 8.4060e-05 - mean_absolute_error: 0.0078 23/126 [====>.........................] - ETA: 0s - loss: 4.6132e-05 - mean_absolute_error: 0.0051 45/126 [=========>....................] - ETA: 0s - loss: 4.0428e-05 - mean_absolute_error: 0.0046 67/126 [==============>...............] - ETA: 0s - loss: 3.7143e-05 - mean_absolute_error: 0.0045 88/126 [===================>..........] - ETA: 0s - loss: 3.7988e-05 - mean_absolute_error: 0.0045109/126 [========================>.....] - ETA: 0s - loss: 3.9565e-05 - mean_absolute_error: 0.0047126/126 [==============================] - 0s 3ms/step - loss: 3.8616e-05 - mean_absolute_error: 0.0046 - val_loss: 6.9125e-05 - val_mean_absolute_error: 0.0062
Epoch 84/100
  1/126 [..............................] - ETA: 0s - loss: 5.6275e-05 - mean_absolute_error: 0.0055 23/126 [====>.........................] - ETA: 0s - loss: 4.5314e-05 - mean_absolute_error: 0.0051 45/126 [=========>....................] - ETA: 0s - loss: 4.5060e-05 - mean_absolute_error: 0.0051 67/126 [==============>...............] - ETA: 0s - loss: 4.4052e-05 - mean_absolute_error: 0.0051 89/126 [====================>.........] - ETA: 0s - loss: 4.0357e-05 - mean_absolute_error: 0.0048111/126 [=========================>....] - ETA: 0s - loss: 3.9277e-05 - mean_absolute_error: 0.0047126/126 [==============================] - 0s 3ms/step - loss: 3.8291e-05 - mean_absolute_error: 0.0046 - val_loss: 6.3168e-05 - val_mean_absolute_error: 0.0058
Epoch 85/100
  1/126 [..............................] - ETA: 0s - loss: 2.8763e-05 - mean_absolute_error: 0.0037 23/126 [====>.........................] - ETA: 0s - loss: 3.2718e-05 - mean_absolute_error: 0.0041 45/126 [=========>....................] - ETA: 0s - loss: 3.4196e-05 - mean_absolute_error: 0.0044 67/126 [==============>...............] - ETA: 0s - loss: 3.5113e-05 - mean_absolute_error: 0.0045 89/126 [====================>.........] - ETA: 0s - loss: 3.7361e-05 - mean_absolute_error: 0.0046111/126 [=========================>....] - ETA: 0s - loss: 3.8630e-05 - mean_absolute_error: 0.0047126/126 [==============================] - 0s 3ms/step - loss: 3.8327e-05 - mean_absolute_error: 0.0047 - val_loss: 6.2533e-05 - val_mean_absolute_error: 0.0055
Epoch 86/100
  1/126 [..............................] - ETA: 0s - loss: 3.2781e-05 - mean_absolute_error: 0.0043 22/126 [====>.........................] - ETA: 0s - loss: 3.4636e-05 - mean_absolute_error: 0.0042 44/126 [=========>....................] - ETA: 0s - loss: 3.5049e-05 - mean_absolute_error: 0.0043 66/126 [==============>...............] - ETA: 0s - loss: 3.2896e-05 - mean_absolute_error: 0.0042 87/126 [===================>..........] - ETA: 0s - loss: 3.2452e-05 - mean_absolute_error: 0.0042108/126 [========================>.....] - ETA: 0s - loss: 3.2966e-05 - mean_absolute_error: 0.0042126/126 [==============================] - 0s 3ms/step - loss: 3.5916e-05 - mean_absolute_error: 0.0044 - val_loss: 1.1160e-04 - val_mean_absolute_error: 0.0084
Epoch 87/100
  1/126 [..............................] - ETA: 0s - loss: 9.4774e-05 - mean_absolute_error: 0.0079 23/126 [====>.........................] - ETA: 0s - loss: 4.2020e-05 - mean_absolute_error: 0.0051 45/126 [=========>....................] - ETA: 0s - loss: 4.1111e-05 - mean_absolute_error: 0.0050 67/126 [==============>...............] - ETA: 0s - loss: 3.9884e-05 - mean_absolute_error: 0.0049 88/126 [===================>..........] - ETA: 0s - loss: 3.7823e-05 - mean_absolute_error: 0.0047109/126 [========================>.....] - ETA: 0s - loss: 3.7617e-05 - mean_absolute_error: 0.0046126/126 [==============================] - 0s 3ms/step - loss: 4.0297e-05 - mean_absolute_error: 0.0048 - val_loss: 1.0315e-04 - val_mean_absolute_error: 0.0079
Epoch 88/100
  1/126 [..............................] - ETA: 0s - loss: 6.6087e-05 - mean_absolute_error: 0.0069 23/126 [====>.........................] - ETA: 0s - loss: 3.9856e-05 - mean_absolute_error: 0.0048 45/126 [=========>....................] - ETA: 0s - loss: 3.6924e-05 - mean_absolute_error: 0.0046 67/126 [==============>...............] - ETA: 0s - loss: 3.8624e-05 - mean_absolute_error: 0.0048 89/126 [====================>.........] - ETA: 0s - loss: 3.8627e-05 - mean_absolute_error: 0.0047110/126 [=========================>....] - ETA: 0s - loss: 3.7724e-05 - mean_absolute_error: 0.0046126/126 [==============================] - 0s 3ms/step - loss: 3.6556e-05 - mean_absolute_error: 0.0045 - val_loss: 8.1166e-05 - val_mean_absolute_error: 0.0071
Epoch 89/100
  1/126 [..............................] - ETA: 0s - loss: 4.8642e-05 - mean_absolute_error: 0.0055 22/126 [====>.........................] - ETA: 0s - loss: 3.4134e-05 - mean_absolute_error: 0.0043 43/126 [=========>....................] - ETA: 0s - loss: 3.6619e-05 - mean_absolute_error: 0.0046 63/126 [==============>...............] - ETA: 0s - loss: 3.7763e-05 - mean_absolute_error: 0.0047 84/126 [===================>..........] - ETA: 0s - loss: 3.7688e-05 - mean_absolute_error: 0.0047105/126 [========================>.....] - ETA: 0s - loss: 3.8037e-05 - mean_absolute_error: 0.0047126/126 [==============================] - 0s 3ms/step - loss: 3.8174e-05 - mean_absolute_error: 0.0047 - val_loss: 9.0780e-05 - val_mean_absolute_error: 0.0076
Epoch 90/100
  1/126 [..............................] - ETA: 0s - loss: 4.6399e-05 - mean_absolute_error: 0.0054 23/126 [====>.........................] - ETA: 0s - loss: 4.5304e-05 - mean_absolute_error: 0.0054 45/126 [=========>....................] - ETA: 0s - loss: 3.9063e-05 - mean_absolute_error: 0.0048 67/126 [==============>...............] - ETA: 0s - loss: 3.5532e-05 - mean_absolute_error: 0.0044 89/126 [====================>.........] - ETA: 0s - loss: 3.5295e-05 - mean_absolute_error: 0.0044110/126 [=========================>....] - ETA: 0s - loss: 3.5871e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 0s 3ms/step - loss: 3.5693e-05 - mean_absolute_error: 0.0044 - val_loss: 6.6235e-05 - val_mean_absolute_error: 0.0061
Epoch 91/100
  1/126 [..............................] - ETA: 0s - loss: 1.5672e-05 - mean_absolute_error: 0.0032 18/126 [===>..........................] - ETA: 0s - loss: 4.0966e-05 - mean_absolute_error: 0.0051 39/126 [========>.....................] - ETA: 0s - loss: 3.9867e-05 - mean_absolute_error: 0.0048 60/126 [=============>................] - ETA: 0s - loss: 3.9010e-05 - mean_absolute_error: 0.0048 81/126 [==================>...........] - ETA: 0s - loss: 3.6643e-05 - mean_absolute_error: 0.0046102/126 [=======================>......] - ETA: 0s - loss: 3.5773e-05 - mean_absolute_error: 0.0044123/126 [============================>.] - ETA: 0s - loss: 3.6553e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 0s 3ms/step - loss: 3.6490e-05 - mean_absolute_error: 0.0045 - val_loss: 6.3068e-05 - val_mean_absolute_error: 0.0058
Epoch 92/100
  1/126 [..............................] - ETA: 0s - loss: 2.2826e-05 - mean_absolute_error: 0.0038 23/126 [====>.........................] - ETA: 0s - loss: 2.7748e-05 - mean_absolute_error: 0.0037 44/126 [=========>....................] - ETA: 0s - loss: 3.4383e-05 - mean_absolute_error: 0.0044 65/126 [==============>...............] - ETA: 0s - loss: 3.5928e-05 - mean_absolute_error: 0.0046 86/126 [===================>..........] - ETA: 0s - loss: 3.9663e-05 - mean_absolute_error: 0.0048107/126 [========================>.....] - ETA: 0s - loss: 4.0493e-05 - mean_absolute_error: 0.0049126/126 [==============================] - 0s 3ms/step - loss: 4.0478e-05 - mean_absolute_error: 0.0049 - val_loss: 6.2008e-05 - val_mean_absolute_error: 0.0057
Epoch 93/100
  1/126 [..............................] - ETA: 0s - loss: 2.7884e-05 - mean_absolute_error: 0.0041 23/126 [====>.........................] - ETA: 0s - loss: 3.6314e-05 - mean_absolute_error: 0.0045 45/126 [=========>....................] - ETA: 0s - loss: 3.6453e-05 - mean_absolute_error: 0.0045 66/126 [==============>...............] - ETA: 0s - loss: 3.8091e-05 - mean_absolute_error: 0.0047 87/126 [===================>..........] - ETA: 0s - loss: 3.6006e-05 - mean_absolute_error: 0.0045109/126 [========================>.....] - ETA: 0s - loss: 3.5510e-05 - mean_absolute_error: 0.0044126/126 [==============================] - 0s 3ms/step - loss: 3.8626e-05 - mean_absolute_error: 0.0046 - val_loss: 7.3538e-05 - val_mean_absolute_error: 0.0066
Epoch 94/100
  1/126 [..............................] - ETA: 0s - loss: 4.3981e-05 - mean_absolute_error: 0.0052 23/126 [====>.........................] - ETA: 0s - loss: 6.0604e-05 - mean_absolute_error: 0.0063 45/126 [=========>....................] - ETA: 0s - loss: 4.9771e-05 - mean_absolute_error: 0.0054 67/126 [==============>...............] - ETA: 0s - loss: 4.3371e-05 - mean_absolute_error: 0.0050 88/126 [===================>..........] - ETA: 0s - loss: 4.1105e-05 - mean_absolute_error: 0.0048110/126 [=========================>....] - ETA: 0s - loss: 4.0632e-05 - mean_absolute_error: 0.0048126/126 [==============================] - 0s 3ms/step - loss: 4.0983e-05 - mean_absolute_error: 0.0049 - val_loss: 9.5146e-05 - val_mean_absolute_error: 0.0079
Epoch 95/100
  1/126 [..............................] - ETA: 0s - loss: 3.5332e-05 - mean_absolute_error: 0.0050 22/126 [====>.........................] - ETA: 0s - loss: 5.0619e-05 - mean_absolute_error: 0.0057 43/126 [=========>....................] - ETA: 0s - loss: 5.1466e-05 - mean_absolute_error: 0.0057 64/126 [==============>...............] - ETA: 0s - loss: 5.1218e-05 - mean_absolute_error: 0.0057 86/126 [===================>..........] - ETA: 0s - loss: 4.9961e-05 - mean_absolute_error: 0.0055107/126 [========================>.....] - ETA: 0s - loss: 4.8969e-05 - mean_absolute_error: 0.0055126/126 [==============================] - 0s 3ms/step - loss: 4.6279e-05 - mean_absolute_error: 0.0053 - val_loss: 5.9523e-05 - val_mean_absolute_error: 0.0053
Epoch 96/100
  1/126 [..............................] - ETA: 0s - loss: 4.1008e-05 - mean_absolute_error: 0.0046 22/126 [====>.........................] - ETA: 0s - loss: 3.3195e-05 - mean_absolute_error: 0.0043 44/126 [=========>....................] - ETA: 0s - loss: 3.0945e-05 - mean_absolute_error: 0.0040 66/126 [==============>...............] - ETA: 0s - loss: 3.3239e-05 - mean_absolute_error: 0.0041 88/126 [===================>..........] - ETA: 0s - loss: 3.4001e-05 - mean_absolute_error: 0.0042110/126 [=========================>....] - ETA: 0s - loss: 3.3336e-05 - mean_absolute_error: 0.0042126/126 [==============================] - 0s 3ms/step - loss: 3.2969e-05 - mean_absolute_error: 0.0042 - val_loss: 6.5868e-05 - val_mean_absolute_error: 0.0061
Epoch 97/100
  1/126 [..............................] - ETA: 0s - loss: 4.6864e-05 - mean_absolute_error: 0.0053 23/126 [====>.........................] - ETA: 0s - loss: 3.4557e-05 - mean_absolute_error: 0.0043 45/126 [=========>....................] - ETA: 0s - loss: 3.6394e-05 - mean_absolute_error: 0.0045 67/126 [==============>...............] - ETA: 0s - loss: 3.4244e-05 - mean_absolute_error: 0.0043 88/126 [===================>..........] - ETA: 0s - loss: 3.2610e-05 - mean_absolute_error: 0.0041109/126 [========================>.....] - ETA: 0s - loss: 3.3438e-05 - mean_absolute_error: 0.0042126/126 [==============================] - 0s 3ms/step - loss: 3.3805e-05 - mean_absolute_error: 0.0042 - val_loss: 6.3434e-05 - val_mean_absolute_error: 0.0057
Epoch 98/100
  1/126 [..............................] - ETA: 0s - loss: 4.9038e-05 - mean_absolute_error: 0.0054 22/126 [====>.........................] - ETA: 0s - loss: 3.2829e-05 - mean_absolute_error: 0.0042 44/126 [=========>....................] - ETA: 0s - loss: 3.2078e-05 - mean_absolute_error: 0.0041 65/126 [==============>...............] - ETA: 0s - loss: 3.3659e-05 - mean_absolute_error: 0.0043 86/126 [===================>..........] - ETA: 0s - loss: 3.5003e-05 - mean_absolute_error: 0.0044107/126 [========================>.....] - ETA: 0s - loss: 3.5660e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 0s 3ms/step - loss: 3.5802e-05 - mean_absolute_error: 0.0045 - val_loss: 6.9037e-05 - val_mean_absolute_error: 0.0063
Epoch 99/100
  1/126 [..............................] - ETA: 0s - loss: 3.9561e-05 - mean_absolute_error: 0.0051 23/126 [====>.........................] - ETA: 0s - loss: 3.6243e-05 - mean_absolute_error: 0.0045 44/126 [=========>....................] - ETA: 0s - loss: 4.0095e-05 - mean_absolute_error: 0.0048 65/126 [==============>...............] - ETA: 0s - loss: 4.5903e-05 - mean_absolute_error: 0.0052 86/126 [===================>..........] - ETA: 0s - loss: 4.3752e-05 - mean_absolute_error: 0.0051107/126 [========================>.....] - ETA: 0s - loss: 4.1309e-05 - mean_absolute_error: 0.0049126/126 [==============================] - 0s 3ms/step - loss: 4.0839e-05 - mean_absolute_error: 0.0049 - val_loss: 6.8770e-05 - val_mean_absolute_error: 0.0063
Epoch 100/100
  1/126 [..............................] - ETA: 0s - loss: 2.7794e-05 - mean_absolute_error: 0.0041 20/126 [===>..........................] - ETA: 0s - loss: 3.7324e-05 - mean_absolute_error: 0.0046 41/126 [========>.....................] - ETA: 0s - loss: 3.3198e-05 - mean_absolute_error: 0.0043 62/126 [=============>................] - ETA: 0s - loss: 3.3299e-05 - mean_absolute_error: 0.0043 83/126 [==================>...........] - ETA: 0s - loss: 3.3179e-05 - mean_absolute_error: 0.0043105/126 [========================>.....] - ETA: 0s - loss: 3.3161e-05 - mean_absolute_error: 0.0043126/126 [==============================] - 0s 3ms/step - loss: 3.4646e-05 - mean_absolute_error: 0.0044 - val_loss: 7.1683e-05 - val_mean_absolute_error: 0.0065

<keras.src.callbacks.History at 0x1b9ccb31810>

After the training and fitting of the Machine Learning model for the United Kingdom, I tried to create visualizations comparing the model against the country’s training dataset, validation dataset, but most importantly the testing dataset (as shown below in the line graphs). Note that the darker and thicker blue lines represent the prediction model’s projections and the thinner red lines is the observed/gathered data.

```{python}
# Testing the Machine Learning Model prediction for United Kingdom with the train, 
# validation, and test sets
# Most important is the test set prediction as this tests the effectiveness
# of the Machine Learning model on data it has not seen before 
united_kingdom_train_pred = united_kingdom_model.predict(X_united_kingdom_train).flatten()

plt.plot(dates_united_kingdom_train, united_kingdom_train_pred, linewidth=4)
plt.plot(dates_united_kingdom_train, y_united_kingdom_train, linewidth=1)
plt.legend(["Training Predictions", "Training Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("United Kingdom - Training Set Predictions vs. Observations")
plt.show()

united_kingdom_val_pred = united_kingdom_model.predict(X_united_kingdom_val).flatten()

plt.plot(dates_united_kingdom_val, united_kingdom_val_pred, linewidth=4)
plt.plot(dates_united_kingdom_val, y_united_kingdom_val, linewidth=1)
plt.legend(["Validation Predictions", "Validation Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("United Kingdom - Validation Set Predictions vs. Observations")
plt.show()

united_kingdom_test_pred = united_kingdom_model.predict(X_united_kingdom_test).flatten()

plt.plot(dates_united_kingdom_test, united_kingdom_test_pred, linewidth=4)
plt.plot(dates_united_kingdom_test, y_united_kingdom_test, linewidth=1)
plt.legend(["Testing Predictions", "Testing Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("United Kingdom - Testing Set Predictions vs. Observations")
plt.show()
```

  1/126 [..............................] - ETA: 43s 44/126 [=========>....................] - ETA: 0s  86/126 [===================>..........] - ETA: 0s126/126 [==============================] - 0s 1ms/step
 1/16 [>.............................] - ETA: 0s16/16 [==============================] - 0s 1ms/step
 1/16 [>.............................] - ETA: 0s16/16 [==============================] - 0s 1ms/step

Through careful consideration of all of the prediction-based vs. observation-based contrast visualizations together, I consolidated all of graphics into one singular visualization for you to see below to get a more general perspective of the effectiveness of the Machine Learning model at training and fitting towards predicting the United Kingdom’s international currency rate with the United States.

```{python}
# Plotting United Kingdom's observational (reference) data with the predictions 
# of its Machine Learning Model (as a way to visually inspect the effectiveness 
# of the model) 
plt.plot(dates_united_kingdom_train, united_kingdom_train_pred, linewidth=4)
plt.plot(dates_united_kingdom_train, y_united_kingdom_train, linewidth=1)
plt.plot(dates_united_kingdom_val, united_kingdom_val_pred, linewidth=4)
plt.plot(dates_united_kingdom_val, y_united_kingdom_val, linewidth=1)
plt.plot(dates_united_kingdom_test, united_kingdom_test_pred, linewidth=4)
plt.plot(dates_united_kingdom_test, y_united_kingdom_test, linewidth=1)

plt.legend(["Training Predictions",
            "Training Observations",
            "Validation Predictions",
            "Validation Observations",
            "Testing Predictions",
            "Testing Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Culmination of the Three Machine Learning Phases of United Kingdom's Dataset - Predictions vs. Observations")
plt.show()
```

Lastly, I worked on Switzerland’s data (as shown below):

Since the data (date, X, and y) is split into three np.arrays and to be more efficient, I will manually split Switzerland’s data into train, test, and validation datasets for the Machine Learning model with 80% going to the training dataset, the next 10% going to the validation dataset, and the last 10% going to the test dataset for each np.array respectively.

```{python}
# Splitting Switzerland's data into train, test, and validation sets on 3 
# mediums: the X-axis, the y-axis, and the indices (represented by dates)
dates_switzerland_train, X_switzerland_train, y_switzerland_train = dates_switzerland[:percentile_80], X_switzerland[:percentile_80], y_switzerland[:percentile_80]
dates_switzerland_val, X_switzerland_val, y_switzerland_val = dates_switzerland[percentile_80:percentile_90], X_switzerland[percentile_80:percentile_90], y_switzerland[percentile_80:percentile_90]
dates_switzerland_test, X_switzerland_test, y_switzerland_test = dates_switzerland[percentile_90:], X_switzerland[percentile_90:], y_switzerland[percentile_90:]

plt.plot(dates_switzerland_train, y_switzerland_train, linewidth=1)
plt.plot(dates_switzerland_val, y_switzerland_val, linewidth=1)
plt.plot(dates_switzerland_test, y_switzerland_test, linewidth=1)

plt.legend(["Training", "Validation", "Testing"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Split of Switzerland's Data for LSTM Model")
plt.show()
```

Now, I began to configure the Machine Learning model. We added Sequential layers: an Input layer 3 by 1 because we will have 3 np.arrays of Input and 1 np.array as output, utilize a LSTM (Long Short-Term Memory) layer of 64 neurons, apply 2 levels of dense layers with 32 neurons and folliowing recommendations online to use the RELU (Rectified Linear Unit) Activiation Function, and I followed up with one last dense layer of 1 neuron as our output layer since we are just trying to linearly-predict the next currency-rate on a near-future date. Once I configured the Sequential layers, we are ready to compile the model, utilzing the mean_square_error as our minimizing loss function, using the Adam optimizer, and comparing our trained model against our data with the mean_absolute_error metric. Lastly, I fitted our model, utilzing our X_train and Y_train datasets for fitting with validation from our X_valid and Y_valid datasets at 100 epochs.

```{python}
# Configuring the Machine Learning Tensorflow Model for Switzerland
switzerland_model = Sequential([layers.Input((3, 1)),
                    layers.LSTM(64),
                    layers.Dense(32, activation="relu"),
                    layers.Dense(32, activation="relu"),
                    layers.Dense(1)])

switzerland_model.compile(loss="mse",
              optimizer=Adam(learning_rate=0.001),
              metrics=["mean_absolute_error"])

switzerland_model.fit(X_switzerland_train, y_switzerland_train, validation_data=(X_switzerland_val, y_switzerland_val), epochs=100)
```

Epoch 1/100
  1/126 [..............................] - ETA: 3:42 - loss: 1.3814 - mean_absolute_error: 1.1562 23/126 [====>.........................] - ETA: 0s - loss: 1.1866 - mean_absolute_error: 1.0566   45/126 [=========>....................] - ETA: 0s - loss: 0.7362 - mean_absolute_error: 0.7472 67/126 [==============>...............] - ETA: 0s - loss: 0.5026 - mean_absolute_error: 0.5439 88/126 [===================>..........] - ETA: 0s - loss: 0.3840 - mean_absolute_error: 0.4292110/126 [=========================>....] - ETA: 0s - loss: 0.3080 - mean_absolute_error: 0.3541126/126 [==============================] - 3s 6ms/step - loss: 0.2707 - mean_absolute_error: 0.3165 - val_loss: 0.0024 - val_mean_absolute_error: 0.0482
Epoch 2/100
  1/126 [..............................] - ETA: 0s - loss: 0.0022 - mean_absolute_error: 0.0403 25/126 [====>.........................] - ETA: 0s - loss: 0.0026 - mean_absolute_error: 0.0423 48/126 [==========>...................] - ETA: 0s - loss: 0.0023 - mean_absolute_error: 0.0401 71/126 [===============>..............] - ETA: 0s - loss: 0.0021 - mean_absolute_error: 0.0378 94/126 [=====================>........] - ETA: 0s - loss: 0.0018 - mean_absolute_error: 0.0350116/126 [==========================>...] - ETA: 0s - loss: 0.0016 - mean_absolute_error: 0.0328126/126 [==============================] - 0s 3ms/step - loss: 0.0016 - mean_absolute_error: 0.0319 - val_loss: 3.6963e-04 - val_mean_absolute_error: 0.0179
Epoch 3/100
  1/126 [..............................] - ETA: 0s - loss: 5.0520e-04 - mean_absolute_error: 0.0186 24/126 [====>.........................] - ETA: 0s - loss: 5.0059e-04 - mean_absolute_error: 0.0178 46/126 [=========>....................] - ETA: 0s - loss: 4.2590e-04 - mean_absolute_error: 0.0166 68/126 [===============>..............] - ETA: 0s - loss: 3.8753e-04 - mean_absolute_error: 0.0157 90/126 [====================>.........] - ETA: 0s - loss: 3.4043e-04 - mean_absolute_error: 0.0146112/126 [=========================>....] - ETA: 0s - loss: 3.0637e-04 - mean_absolute_error: 0.0137126/126 [==============================] - 0s 3ms/step - loss: 2.9146e-04 - mean_absolute_error: 0.0133 - val_loss: 7.2633e-05 - val_mean_absolute_error: 0.0069
Epoch 4/100
  1/126 [..............................] - ETA: 0s - loss: 1.3796e-04 - mean_absolute_error: 0.0096 23/126 [====>.........................] - ETA: 0s - loss: 1.5241e-04 - mean_absolute_error: 0.0096 45/126 [=========>....................] - ETA: 0s - loss: 1.5113e-04 - mean_absolute_error: 0.0096 68/126 [===============>..............] - ETA: 0s - loss: 1.5429e-04 - mean_absolute_error: 0.0097 91/126 [====================>.........] - ETA: 0s - loss: 1.6156e-04 - mean_absolute_error: 0.0097112/126 [=========================>....] - ETA: 0s - loss: 1.6177e-04 - mean_absolute_error: 0.0096126/126 [==============================] - 0s 3ms/step - loss: 1.6021e-04 - mean_absolute_error: 0.0096 - val_loss: 5.0084e-05 - val_mean_absolute_error: 0.0055
Epoch 5/100
  1/126 [..............................] - ETA: 0s - loss: 1.8628e-04 - mean_absolute_error: 0.0114 23/126 [====>.........................] - ETA: 0s - loss: 1.6925e-04 - mean_absolute_error: 0.0096 45/126 [=========>....................] - ETA: 0s - loss: 1.6328e-04 - mean_absolute_error: 0.0096 66/126 [==============>...............] - ETA: 0s - loss: 1.5673e-04 - mean_absolute_error: 0.0094 87/126 [===================>..........] - ETA: 0s - loss: 1.5678e-04 - mean_absolute_error: 0.0094108/126 [========================>.....] - ETA: 0s - loss: 1.6371e-04 - mean_absolute_error: 0.0096126/126 [==============================] - 0s 3ms/step - loss: 1.6171e-04 - mean_absolute_error: 0.0096 - val_loss: 5.3686e-05 - val_mean_absolute_error: 0.0059
Epoch 6/100
  1/126 [..............................] - ETA: 0s - loss: 1.6053e-04 - mean_absolute_error: 0.0100 23/126 [====>.........................] - ETA: 0s - loss: 1.7667e-04 - mean_absolute_error: 0.0097 46/126 [=========>....................] - ETA: 0s - loss: 1.6032e-04 - mean_absolute_error: 0.0095 68/126 [===============>..............] - ETA: 0s - loss: 1.5739e-04 - mean_absolute_error: 0.0095 89/126 [====================>.........] - ETA: 0s - loss: 1.5776e-04 - mean_absolute_error: 0.0094109/126 [========================>.....] - ETA: 0s - loss: 1.5632e-04 - mean_absolute_error: 0.0094126/126 [==============================] - 0s 3ms/step - loss: 1.5563e-04 - mean_absolute_error: 0.0094 - val_loss: 4.9900e-05 - val_mean_absolute_error: 0.0055
Epoch 7/100
  1/126 [..............................] - ETA: 0s - loss: 9.7115e-05 - mean_absolute_error: 0.0077 22/126 [====>.........................] - ETA: 0s - loss: 1.5574e-04 - mean_absolute_error: 0.0095 44/126 [=========>....................] - ETA: 0s - loss: 1.6275e-04 - mean_absolute_error: 0.0094 66/126 [==============>...............] - ETA: 0s - loss: 1.5817e-04 - mean_absolute_error: 0.0094 88/126 [===================>..........] - ETA: 0s - loss: 1.6011e-04 - mean_absolute_error: 0.0094110/126 [=========================>....] - ETA: 0s - loss: 1.5798e-04 - mean_absolute_error: 0.0094126/126 [==============================] - 0s 3ms/step - loss: 1.5466e-04 - mean_absolute_error: 0.0094 - val_loss: 4.9407e-05 - val_mean_absolute_error: 0.0054
Epoch 8/100
  1/126 [..............................] - ETA: 0s - loss: 1.5897e-04 - mean_absolute_error: 0.0096 23/126 [====>.........................] - ETA: 0s - loss: 1.8162e-04 - mean_absolute_error: 0.0098 45/126 [=========>....................] - ETA: 0s - loss: 1.7448e-04 - mean_absolute_error: 0.0097 67/126 [==============>...............] - ETA: 0s - loss: 1.6468e-04 - mean_absolute_error: 0.0096 88/126 [===================>..........] - ETA: 0s - loss: 1.6056e-04 - mean_absolute_error: 0.0095110/126 [=========================>....] - ETA: 0s - loss: 1.5808e-04 - mean_absolute_error: 0.0095126/126 [==============================] - 0s 3ms/step - loss: 1.5535e-04 - mean_absolute_error: 0.0094 - val_loss: 4.9746e-05 - val_mean_absolute_error: 0.0055
Epoch 9/100
  1/126 [..............................] - ETA: 0s - loss: 1.0584e-04 - mean_absolute_error: 0.0084 23/126 [====>.........................] - ETA: 0s - loss: 1.4771e-04 - mean_absolute_error: 0.0094 44/126 [=========>....................] - ETA: 0s - loss: 1.7493e-04 - mean_absolute_error: 0.0099 67/126 [==============>...............] - ETA: 0s - loss: 1.6340e-04 - mean_absolute_error: 0.0097 89/126 [====================>.........] - ETA: 0s - loss: 1.6695e-04 - mean_absolute_error: 0.0097110/126 [=========================>....] - ETA: 0s - loss: 1.6249e-04 - mean_absolute_error: 0.0096126/126 [==============================] - 0s 3ms/step - loss: 1.6071e-04 - mean_absolute_error: 0.0096 - val_loss: 5.9952e-05 - val_mean_absolute_error: 0.0062
Epoch 10/100
  1/126 [..............................] - ETA: 0s - loss: 1.5238e-04 - mean_absolute_error: 0.0104 23/126 [====>.........................] - ETA: 0s - loss: 1.6097e-04 - mean_absolute_error: 0.0096 45/126 [=========>....................] - ETA: 0s - loss: 1.7563e-04 - mean_absolute_error: 0.0097 67/126 [==============>...............] - ETA: 0s - loss: 1.6742e-04 - mean_absolute_error: 0.0097 89/126 [====================>.........] - ETA: 0s - loss: 1.6101e-04 - mean_absolute_error: 0.0096111/126 [=========================>....] - ETA: 0s - loss: 1.5916e-04 - mean_absolute_error: 0.0095126/126 [==============================] - 0s 3ms/step - loss: 1.6167e-04 - mean_absolute_error: 0.0095 - val_loss: 5.4379e-05 - val_mean_absolute_error: 0.0059
Epoch 11/100
  1/126 [..............................] - ETA: 0s - loss: 1.9129e-04 - mean_absolute_error: 0.0110 23/126 [====>.........................] - ETA: 0s - loss: 1.4233e-04 - mean_absolute_error: 0.0094 45/126 [=========>....................] - ETA: 0s - loss: 1.4403e-04 - mean_absolute_error: 0.0093 67/126 [==============>...............] - ETA: 0s - loss: 1.5125e-04 - mean_absolute_error: 0.0093 90/126 [====================>.........] - ETA: 0s - loss: 1.4747e-04 - mean_absolute_error: 0.0092112/126 [=========================>....] - ETA: 0s - loss: 1.4796e-04 - mean_absolute_error: 0.0092126/126 [==============================] - 0s 3ms/step - loss: 1.5387e-04 - mean_absolute_error: 0.0093 - val_loss: 4.9471e-05 - val_mean_absolute_error: 0.0054
Epoch 12/100
  1/126 [..............................] - ETA: 0s - loss: 1.2975e-04 - mean_absolute_error: 0.0091 24/126 [====>.........................] - ETA: 0s - loss: 1.6911e-04 - mean_absolute_error: 0.0099 47/126 [==========>...................] - ETA: 0s - loss: 1.7792e-04 - mean_absolute_error: 0.0100 69/126 [===============>..............] - ETA: 0s - loss: 1.7258e-04 - mean_absolute_error: 0.0098 92/126 [====================>.........] - ETA: 0s - loss: 1.6349e-04 - mean_absolute_error: 0.0096114/126 [==========================>...] - ETA: 0s - loss: 1.6653e-04 - mean_absolute_error: 0.0097126/126 [==============================] - 0s 3ms/step - loss: 1.6281e-04 - mean_absolute_error: 0.0096 - val_loss: 5.2554e-05 - val_mean_absolute_error: 0.0058
Epoch 13/100
  1/126 [..............................] - ETA: 0s - loss: 1.5515e-04 - mean_absolute_error: 0.0103 23/126 [====>.........................] - ETA: 0s - loss: 1.4751e-04 - mean_absolute_error: 0.0093 45/126 [=========>....................] - ETA: 0s - loss: 1.5991e-04 - mean_absolute_error: 0.0096 67/126 [==============>...............] - ETA: 0s - loss: 1.5243e-04 - mean_absolute_error: 0.0094 88/126 [===================>..........] - ETA: 0s - loss: 1.6026e-04 - mean_absolute_error: 0.0095109/126 [========================>.....] - ETA: 0s - loss: 1.5859e-04 - mean_absolute_error: 0.0095126/126 [==============================] - 0s 3ms/step - loss: 1.5663e-04 - mean_absolute_error: 0.0095 - val_loss: 5.4029e-05 - val_mean_absolute_error: 0.0059
Epoch 14/100
  1/126 [..............................] - ETA: 0s - loss: 1.2373e-04 - mean_absolute_error: 0.0093 23/126 [====>.........................] - ETA: 0s - loss: 1.4524e-04 - mean_absolute_error: 0.0093 45/126 [=========>....................] - ETA: 0s - loss: 1.3907e-04 - mean_absolute_error: 0.0091 67/126 [==============>...............] - ETA: 0s - loss: 1.5158e-04 - mean_absolute_error: 0.0092 88/126 [===================>..........] - ETA: 0s - loss: 1.5176e-04 - mean_absolute_error: 0.0093109/126 [========================>.....] - ETA: 0s - loss: 1.4946e-04 - mean_absolute_error: 0.0092126/126 [==============================] - 0s 3ms/step - loss: 1.5166e-04 - mean_absolute_error: 0.0092 - val_loss: 4.9316e-05 - val_mean_absolute_error: 0.0054
Epoch 15/100
  1/126 [..............................] - ETA: 0s - loss: 1.1977e-04 - mean_absolute_error: 0.0085 23/126 [====>.........................] - ETA: 0s - loss: 1.4443e-04 - mean_absolute_error: 0.0091 45/126 [=========>....................] - ETA: 0s - loss: 1.5176e-04 - mean_absolute_error: 0.0090 67/126 [==============>...............] - ETA: 0s - loss: 1.4772e-04 - mean_absolute_error: 0.0091 88/126 [===================>..........] - ETA: 0s - loss: 1.4643e-04 - mean_absolute_error: 0.0091109/126 [========================>.....] - ETA: 0s - loss: 1.4859e-04 - mean_absolute_error: 0.0091126/126 [==============================] - 0s 3ms/step - loss: 1.5023e-04 - mean_absolute_error: 0.0092 - val_loss: 5.1415e-05 - val_mean_absolute_error: 0.0057
Epoch 16/100
  1/126 [..............................] - ETA: 0s - loss: 1.4571e-04 - mean_absolute_error: 0.0087 24/126 [====>.........................] - ETA: 0s - loss: 1.5671e-04 - mean_absolute_error: 0.0091 46/126 [=========>....................] - ETA: 0s - loss: 1.5105e-04 - mean_absolute_error: 0.0092 68/126 [===============>..............] - ETA: 0s - loss: 1.5515e-04 - mean_absolute_error: 0.0092 91/126 [====================>.........] - ETA: 0s - loss: 1.5199e-04 - mean_absolute_error: 0.0092113/126 [=========================>....] - ETA: 0s - loss: 1.4970e-04 - mean_absolute_error: 0.0091126/126 [==============================] - 0s 3ms/step - loss: 1.4881e-04 - mean_absolute_error: 0.0091 - val_loss: 4.9972e-05 - val_mean_absolute_error: 0.0055
Epoch 17/100
  1/126 [..............................] - ETA: 0s - loss: 1.2227e-04 - mean_absolute_error: 0.0093 23/126 [====>.........................] - ETA: 0s - loss: 1.4813e-04 - mean_absolute_error: 0.0094 45/126 [=========>....................] - ETA: 0s - loss: 1.5190e-04 - mean_absolute_error: 0.0095 67/126 [==============>...............] - ETA: 0s - loss: 1.6673e-04 - mean_absolute_error: 0.0098 89/126 [====================>.........] - ETA: 0s - loss: 1.6094e-04 - mean_absolute_error: 0.0097111/126 [=========================>....] - ETA: 0s - loss: 1.6110e-04 - mean_absolute_error: 0.0096126/126 [==============================] - 0s 3ms/step - loss: 1.5755e-04 - mean_absolute_error: 0.0095 - val_loss: 5.8704e-05 - val_mean_absolute_error: 0.0062
Epoch 18/100
  1/126 [..............................] - ETA: 0s - loss: 1.3579e-04 - mean_absolute_error: 0.0096 24/126 [====>.........................] - ETA: 0s - loss: 1.3269e-04 - mean_absolute_error: 0.0087 46/126 [=========>....................] - ETA: 0s - loss: 1.3999e-04 - mean_absolute_error: 0.0091 68/126 [===============>..............] - ETA: 0s - loss: 1.5626e-04 - mean_absolute_error: 0.0093 90/126 [====================>.........] - ETA: 0s - loss: 1.5697e-04 - mean_absolute_error: 0.0094111/126 [=========================>....] - ETA: 0s - loss: 1.5332e-04 - mean_absolute_error: 0.0094126/126 [==============================] - 0s 3ms/step - loss: 1.5680e-04 - mean_absolute_error: 0.0094 - val_loss: 4.9308e-05 - val_mean_absolute_error: 0.0054
Epoch 19/100
  1/126 [..............................] - ETA: 0s - loss: 1.2599e-04 - mean_absolute_error: 0.0091 23/126 [====>.........................] - ETA: 0s - loss: 1.3048e-04 - mean_absolute_error: 0.0087 45/126 [=========>....................] - ETA: 0s - loss: 1.3605e-04 - mean_absolute_error: 0.0089 65/126 [==============>...............] - ETA: 0s - loss: 1.5033e-04 - mean_absolute_error: 0.0091 85/126 [===================>..........] - ETA: 0s - loss: 1.5447e-04 - mean_absolute_error: 0.0092106/126 [========================>.....] - ETA: 0s - loss: 1.5714e-04 - mean_absolute_error: 0.0093126/126 [==============================] - 0s 3ms/step - loss: 1.5366e-04 - mean_absolute_error: 0.0093 - val_loss: 5.0093e-05 - val_mean_absolute_error: 0.0055
Epoch 20/100
  1/126 [..............................] - ETA: 0s - loss: 9.1638e-05 - mean_absolute_error: 0.0077 23/126 [====>.........................] - ETA: 0s - loss: 1.6929e-04 - mean_absolute_error: 0.0098 45/126 [=========>....................] - ETA: 0s - loss: 1.6229e-04 - mean_absolute_error: 0.0094 68/126 [===============>..............] - ETA: 0s - loss: 1.5815e-04 - mean_absolute_error: 0.0094 89/126 [====================>.........] - ETA: 0s - loss: 1.6578e-04 - mean_absolute_error: 0.0096111/126 [=========================>....] - ETA: 0s - loss: 1.5659e-04 - mean_absolute_error: 0.0093126/126 [==============================] - 0s 3ms/step - loss: 1.5216e-04 - mean_absolute_error: 0.0092 - val_loss: 6.3317e-05 - val_mean_absolute_error: 0.0064
Epoch 21/100
  1/126 [..............................] - ETA: 0s - loss: 1.5423e-04 - mean_absolute_error: 0.0099 23/126 [====>.........................] - ETA: 0s - loss: 2.1462e-04 - mean_absolute_error: 0.0108 46/126 [=========>....................] - ETA: 0s - loss: 1.8412e-04 - mean_absolute_error: 0.0102 69/126 [===============>..............] - ETA: 0s - loss: 1.6632e-04 - mean_absolute_error: 0.0097 91/126 [====================>.........] - ETA: 0s - loss: 1.5829e-04 - mean_absolute_error: 0.0095113/126 [=========================>....] - ETA: 0s - loss: 1.5833e-04 - mean_absolute_error: 0.0094126/126 [==============================] - 0s 3ms/step - loss: 1.5591e-04 - mean_absolute_error: 0.0094 - val_loss: 5.0218e-05 - val_mean_absolute_error: 0.0055
Epoch 22/100
  1/126 [..............................] - ETA: 0s - loss: 9.8867e-05 - mean_absolute_error: 0.0083 23/126 [====>.........................] - ETA: 0s - loss: 1.2898e-04 - mean_absolute_error: 0.0087 45/126 [=========>....................] - ETA: 0s - loss: 1.6123e-04 - mean_absolute_error: 0.0094 67/126 [==============>...............] - ETA: 0s - loss: 1.6046e-04 - mean_absolute_error: 0.0095 90/126 [====================>.........] - ETA: 0s - loss: 1.5757e-04 - mean_absolute_error: 0.0093112/126 [=========================>....] - ETA: 0s - loss: 1.5335e-04 - mean_absolute_error: 0.0092126/126 [==============================] - 0s 3ms/step - loss: 1.5134e-04 - mean_absolute_error: 0.0092 - val_loss: 5.3611e-05 - val_mean_absolute_error: 0.0058
Epoch 23/100
  1/126 [..............................] - ETA: 0s - loss: 7.9575e-05 - mean_absolute_error: 0.0071 23/126 [====>.........................] - ETA: 0s - loss: 1.3062e-04 - mean_absolute_error: 0.0087 45/126 [=========>....................] - ETA: 0s - loss: 1.2614e-04 - mean_absolute_error: 0.0086 67/126 [==============>...............] - ETA: 0s - loss: 1.5233e-04 - mean_absolute_error: 0.0092 89/126 [====================>.........] - ETA: 0s - loss: 1.4493e-04 - mean_absolute_error: 0.0090111/126 [=========================>....] - ETA: 0s - loss: 1.4829e-04 - mean_absolute_error: 0.0090126/126 [==============================] - 0s 3ms/step - loss: 1.4647e-04 - mean_absolute_error: 0.0090 - val_loss: 5.4809e-05 - val_mean_absolute_error: 0.0059
Epoch 24/100
  1/126 [..............................] - ETA: 0s - loss: 1.1027e-04 - mean_absolute_error: 0.0079 24/126 [====>.........................] - ETA: 0s - loss: 1.3222e-04 - mean_absolute_error: 0.0088 46/126 [=========>....................] - ETA: 0s - loss: 1.3518e-04 - mean_absolute_error: 0.0088 68/126 [===============>..............] - ETA: 0s - loss: 1.3679e-04 - mean_absolute_error: 0.0089 90/126 [====================>.........] - ETA: 0s - loss: 1.3873e-04 - mean_absolute_error: 0.0090112/126 [=========================>....] - ETA: 0s - loss: 1.3947e-04 - mean_absolute_error: 0.0090126/126 [==============================] - 0s 3ms/step - loss: 1.4869e-04 - mean_absolute_error: 0.0091 - val_loss: 5.4606e-05 - val_mean_absolute_error: 0.0059
Epoch 25/100
  1/126 [..............................] - ETA: 0s - loss: 2.6196e-04 - mean_absolute_error: 0.0113 23/126 [====>.........................] - ETA: 0s - loss: 2.0436e-04 - mean_absolute_error: 0.0102 45/126 [=========>....................] - ETA: 0s - loss: 1.8118e-04 - mean_absolute_error: 0.0099 66/126 [==============>...............] - ETA: 0s - loss: 1.7164e-04 - mean_absolute_error: 0.0096 88/126 [===================>..........] - ETA: 0s - loss: 1.6533e-04 - mean_absolute_error: 0.0096110/126 [=========================>....] - ETA: 0s - loss: 1.6152e-04 - mean_absolute_error: 0.0095126/126 [==============================] - 0s 3ms/step - loss: 1.5836e-04 - mean_absolute_error: 0.0094 - val_loss: 4.9816e-05 - val_mean_absolute_error: 0.0055
Epoch 26/100
  1/126 [..............................] - ETA: 0s - loss: 1.4377e-04 - mean_absolute_error: 0.0090 23/126 [====>.........................] - ETA: 0s - loss: 1.2541e-04 - mean_absolute_error: 0.0086 44/126 [=========>....................] - ETA: 0s - loss: 1.6138e-04 - mean_absolute_error: 0.0094 66/126 [==============>...............] - ETA: 0s - loss: 1.6353e-04 - mean_absolute_error: 0.0095 88/126 [===================>..........] - ETA: 0s - loss: 1.7557e-04 - mean_absolute_error: 0.0099110/126 [=========================>....] - ETA: 0s - loss: 1.6700e-04 - mean_absolute_error: 0.0097126/126 [==============================] - 0s 3ms/step - loss: 1.6192e-04 - mean_absolute_error: 0.0096 - val_loss: 5.8702e-05 - val_mean_absolute_error: 0.0061
Epoch 27/100
  1/126 [..............................] - ETA: 0s - loss: 1.1282e-04 - mean_absolute_error: 0.0080 24/126 [====>.........................] - ETA: 0s - loss: 1.2482e-04 - mean_absolute_error: 0.0087 46/126 [=========>....................] - ETA: 0s - loss: 1.3808e-04 - mean_absolute_error: 0.0090 68/126 [===============>..............] - ETA: 0s - loss: 1.4127e-04 - mean_absolute_error: 0.0089 89/126 [====================>.........] - ETA: 0s - loss: 1.3957e-04 - mean_absolute_error: 0.0089111/126 [=========================>....] - ETA: 0s - loss: 1.4100e-04 - mean_absolute_error: 0.0089126/126 [==============================] - 0s 3ms/step - loss: 1.4457e-04 - mean_absolute_error: 0.0090 - val_loss: 5.4008e-05 - val_mean_absolute_error: 0.0059
Epoch 28/100
  1/126 [..............................] - ETA: 0s - loss: 8.8763e-05 - mean_absolute_error: 0.0080 23/126 [====>.........................] - ETA: 0s - loss: 1.6106e-04 - mean_absolute_error: 0.0099 45/126 [=========>....................] - ETA: 0s - loss: 1.8328e-04 - mean_absolute_error: 0.0106 67/126 [==============>...............] - ETA: 0s - loss: 1.6685e-04 - mean_absolute_error: 0.0100 89/126 [====================>.........] - ETA: 0s - loss: 1.5605e-04 - mean_absolute_error: 0.0097111/126 [=========================>....] - ETA: 0s - loss: 1.5594e-04 - mean_absolute_error: 0.0095126/126 [==============================] - 0s 3ms/step - loss: 1.6097e-04 - mean_absolute_error: 0.0096 - val_loss: 1.4948e-04 - val_mean_absolute_error: 0.0104
Epoch 29/100
  1/126 [..............................] - ETA: 0s - loss: 4.3305e-04 - mean_absolute_error: 0.0164 23/126 [====>.........................] - ETA: 0s - loss: 2.0170e-04 - mean_absolute_error: 0.0109 45/126 [=========>....................] - ETA: 0s - loss: 1.7994e-04 - mean_absolute_error: 0.0102 67/126 [==============>...............] - ETA: 0s - loss: 1.7311e-04 - mean_absolute_error: 0.0100 89/126 [====================>.........] - ETA: 0s - loss: 1.7155e-04 - mean_absolute_error: 0.0100111/126 [=========================>....] - ETA: 0s - loss: 1.8026e-04 - mean_absolute_error: 0.0102126/126 [==============================] - 0s 3ms/step - loss: 1.8124e-04 - mean_absolute_error: 0.0101 - val_loss: 5.8033e-05 - val_mean_absolute_error: 0.0061
Epoch 30/100
  1/126 [..............................] - ETA: 0s - loss: 2.7088e-04 - mean_absolute_error: 0.0126 23/126 [====>.........................] - ETA: 0s - loss: 1.3693e-04 - mean_absolute_error: 0.0089 45/126 [=========>....................] - ETA: 0s - loss: 1.4176e-04 - mean_absolute_error: 0.0091 68/126 [===============>..............] - ETA: 0s - loss: 1.6023e-04 - mean_absolute_error: 0.0095 91/126 [====================>.........] - ETA: 0s - loss: 1.5395e-04 - mean_absolute_error: 0.0094113/126 [=========================>....] - ETA: 0s - loss: 1.5434e-04 - mean_absolute_error: 0.0093126/126 [==============================] - 0s 3ms/step - loss: 1.5462e-04 - mean_absolute_error: 0.0094 - val_loss: 5.3792e-05 - val_mean_absolute_error: 0.0059
Epoch 31/100
  1/126 [..............................] - ETA: 0s - loss: 1.2468e-04 - mean_absolute_error: 0.0088 24/126 [====>.........................] - ETA: 0s - loss: 1.6895e-04 - mean_absolute_error: 0.0101 47/126 [==========>...................] - ETA: 0s - loss: 1.5710e-04 - mean_absolute_error: 0.0097 70/126 [===============>..............] - ETA: 0s - loss: 1.6883e-04 - mean_absolute_error: 0.0098 92/126 [====================>.........] - ETA: 0s - loss: 1.7680e-04 - mean_absolute_error: 0.0100113/126 [=========================>....] - ETA: 0s - loss: 1.6857e-04 - mean_absolute_error: 0.0098126/126 [==============================] - 0s 3ms/step - loss: 1.6415e-04 - mean_absolute_error: 0.0097 - val_loss: 7.8361e-05 - val_mean_absolute_error: 0.0073
Epoch 32/100
  1/126 [..............................] - ETA: 0s - loss: 1.5570e-04 - mean_absolute_error: 0.0097 23/126 [====>.........................] - ETA: 0s - loss: 1.4209e-04 - mean_absolute_error: 0.0092 46/126 [=========>....................] - ETA: 0s - loss: 1.5732e-04 - mean_absolute_error: 0.0096 67/126 [==============>...............] - ETA: 0s - loss: 1.6820e-04 - mean_absolute_error: 0.0096 89/126 [====================>.........] - ETA: 0s - loss: 1.6015e-04 - mean_absolute_error: 0.0095111/126 [=========================>....] - ETA: 0s - loss: 1.5725e-04 - mean_absolute_error: 0.0094126/126 [==============================] - 0s 3ms/step - loss: 1.5767e-04 - mean_absolute_error: 0.0094 - val_loss: 5.8241e-05 - val_mean_absolute_error: 0.0061
Epoch 33/100
  1/126 [..............................] - ETA: 0s - loss: 1.9486e-04 - mean_absolute_error: 0.0110 24/126 [====>.........................] - ETA: 0s - loss: 1.6662e-04 - mean_absolute_error: 0.0097 46/126 [=========>....................] - ETA: 0s - loss: 1.7363e-04 - mean_absolute_error: 0.0098 68/126 [===============>..............] - ETA: 0s - loss: 1.8704e-04 - mean_absolute_error: 0.0104 90/126 [====================>.........] - ETA: 0s - loss: 1.7268e-04 - mean_absolute_error: 0.0100112/126 [=========================>....] - ETA: 0s - loss: 1.7410e-04 - mean_absolute_error: 0.0101126/126 [==============================] - 0s 3ms/step - loss: 1.8494e-04 - mean_absolute_error: 0.0103 - val_loss: 5.7045e-05 - val_mean_absolute_error: 0.0060
Epoch 34/100
  1/126 [..............................] - ETA: 0s - loss: 8.9926e-05 - mean_absolute_error: 0.0078 23/126 [====>.........................] - ETA: 0s - loss: 1.3804e-04 - mean_absolute_error: 0.0090 46/126 [=========>....................] - ETA: 0s - loss: 1.7008e-04 - mean_absolute_error: 0.0097 68/126 [===============>..............] - ETA: 0s - loss: 1.7229e-04 - mean_absolute_error: 0.0099 89/126 [====================>.........] - ETA: 0s - loss: 1.6442e-04 - mean_absolute_error: 0.0097110/126 [=========================>....] - ETA: 0s - loss: 1.6106e-04 - mean_absolute_error: 0.0096126/126 [==============================] - 0s 3ms/step - loss: 1.6126e-04 - mean_absolute_error: 0.0096 - val_loss: 1.2052e-04 - val_mean_absolute_error: 0.0093
Epoch 35/100
  1/126 [..............................] - ETA: 0s - loss: 2.4319e-04 - mean_absolute_error: 0.0131 23/126 [====>.........................] - ETA: 0s - loss: 1.9136e-04 - mean_absolute_error: 0.0101 45/126 [=========>....................] - ETA: 0s - loss: 1.6660e-04 - mean_absolute_error: 0.0093 67/126 [==============>...............] - ETA: 0s - loss: 1.5716e-04 - mean_absolute_error: 0.0092 88/126 [===================>..........] - ETA: 0s - loss: 1.6074e-04 - mean_absolute_error: 0.0094110/126 [=========================>....] - ETA: 0s - loss: 1.5881e-04 - mean_absolute_error: 0.0095126/126 [==============================] - 0s 3ms/step - loss: 1.5921e-04 - mean_absolute_error: 0.0095 - val_loss: 1.4568e-04 - val_mean_absolute_error: 0.0104
Epoch 36/100
  1/126 [..............................] - ETA: 0s - loss: 3.5867e-04 - mean_absolute_error: 0.0145 23/126 [====>.........................] - ETA: 0s - loss: 2.5970e-04 - mean_absolute_error: 0.0123 45/126 [=========>....................] - ETA: 0s - loss: 2.0453e-04 - mean_absolute_error: 0.0108 68/126 [===============>..............] - ETA: 0s - loss: 1.8730e-04 - mean_absolute_error: 0.0103 90/126 [====================>.........] - ETA: 0s - loss: 1.9365e-04 - mean_absolute_error: 0.0106112/126 [=========================>....] - ETA: 0s - loss: 1.8825e-04 - mean_absolute_error: 0.0104126/126 [==============================] - 0s 3ms/step - loss: 1.8265e-04 - mean_absolute_error: 0.0102 - val_loss: 6.2905e-05 - val_mean_absolute_error: 0.0064
Epoch 37/100
  1/126 [..............................] - ETA: 0s - loss: 8.1368e-05 - mean_absolute_error: 0.0065 23/126 [====>.........................] - ETA: 0s - loss: 1.6124e-04 - mean_absolute_error: 0.0092 45/126 [=========>....................] - ETA: 0s - loss: 1.5255e-04 - mean_absolute_error: 0.0090 67/126 [==============>...............] - ETA: 0s - loss: 1.6280e-04 - mean_absolute_error: 0.0093 90/126 [====================>.........] - ETA: 0s - loss: 1.6036e-04 - mean_absolute_error: 0.0094111/126 [=========================>....] - ETA: 0s - loss: 1.5819e-04 - mean_absolute_error: 0.0094126/126 [==============================] - 0s 3ms/step - loss: 1.5745e-04 - mean_absolute_error: 0.0094 - val_loss: 5.0561e-05 - val_mean_absolute_error: 0.0056
Epoch 38/100
  1/126 [..............................] - ETA: 0s - loss: 1.1615e-04 - mean_absolute_error: 0.0084 23/126 [====>.........................] - ETA: 0s - loss: 1.9429e-04 - mean_absolute_error: 0.0105 45/126 [=========>....................] - ETA: 0s - loss: 1.8617e-04 - mean_absolute_error: 0.0104 67/126 [==============>...............] - ETA: 0s - loss: 1.6498e-04 - mean_absolute_error: 0.0097 89/126 [====================>.........] - ETA: 0s - loss: 1.6393e-04 - mean_absolute_error: 0.0096111/126 [=========================>....] - ETA: 0s - loss: 1.5760e-04 - mean_absolute_error: 0.0094126/126 [==============================] - 0s 3ms/step - loss: 1.5857e-04 - mean_absolute_error: 0.0095 - val_loss: 5.3802e-05 - val_mean_absolute_error: 0.0059
Epoch 39/100
  1/126 [..............................] - ETA: 0s - loss: 1.4420e-04 - mean_absolute_error: 0.0093 23/126 [====>.........................] - ETA: 0s - loss: 1.3887e-04 - mean_absolute_error: 0.0091 45/126 [=========>....................] - ETA: 0s - loss: 1.5689e-04 - mean_absolute_error: 0.0091 68/126 [===============>..............] - ETA: 0s - loss: 1.5097e-04 - mean_absolute_error: 0.0091 90/126 [====================>.........] - ETA: 0s - loss: 1.5669e-04 - mean_absolute_error: 0.0094111/126 [=========================>....] - ETA: 0s - loss: 1.5697e-04 - mean_absolute_error: 0.0095126/126 [==============================] - 0s 3ms/step - loss: 1.5907e-04 - mean_absolute_error: 0.0095 - val_loss: 1.1715e-04 - val_mean_absolute_error: 0.0092
Epoch 40/100
  1/126 [..............................] - ETA: 0s - loss: 3.6107e-04 - mean_absolute_error: 0.0134 23/126 [====>.........................] - ETA: 0s - loss: 1.6134e-04 - mean_absolute_error: 0.0090 46/126 [=========>....................] - ETA: 0s - loss: 1.4993e-04 - mean_absolute_error: 0.0091 68/126 [===============>..............] - ETA: 0s - loss: 1.6249e-04 - mean_absolute_error: 0.0093 89/126 [====================>.........] - ETA: 0s - loss: 1.5666e-04 - mean_absolute_error: 0.0093109/126 [========================>.....] - ETA: 0s - loss: 1.5231e-04 - mean_absolute_error: 0.0092126/126 [==============================] - 0s 3ms/step - loss: 1.4809e-04 - mean_absolute_error: 0.0091 - val_loss: 5.8095e-05 - val_mean_absolute_error: 0.0061
Epoch 41/100
  1/126 [..............................] - ETA: 0s - loss: 1.2071e-04 - mean_absolute_error: 0.0087 24/126 [====>.........................] - ETA: 0s - loss: 1.6905e-04 - mean_absolute_error: 0.0095 46/126 [=========>....................] - ETA: 0s - loss: 1.6933e-04 - mean_absolute_error: 0.0095 68/126 [===============>..............] - ETA: 0s - loss: 1.9641e-04 - mean_absolute_error: 0.0105 90/126 [====================>.........] - ETA: 0s - loss: 1.8910e-04 - mean_absolute_error: 0.0104112/126 [=========================>....] - ETA: 0s - loss: 1.7554e-04 - mean_absolute_error: 0.0100126/126 [==============================] - 0s 3ms/step - loss: 1.7158e-04 - mean_absolute_error: 0.0099 - val_loss: 8.5351e-05 - val_mean_absolute_error: 0.0076
Epoch 42/100
  1/126 [..............................] - ETA: 0s - loss: 1.0889e-04 - mean_absolute_error: 0.0092 23/126 [====>.........................] - ETA: 0s - loss: 1.3978e-04 - mean_absolute_error: 0.0092 45/126 [=========>....................] - ETA: 0s - loss: 1.4071e-04 - mean_absolute_error: 0.0092 67/126 [==============>...............] - ETA: 0s - loss: 1.4930e-04 - mean_absolute_error: 0.0094 89/126 [====================>.........] - ETA: 0s - loss: 1.6415e-04 - mean_absolute_error: 0.0098111/126 [=========================>....] - ETA: 0s - loss: 1.6826e-04 - mean_absolute_error: 0.0097126/126 [==============================] - 0s 3ms/step - loss: 1.7525e-04 - mean_absolute_error: 0.0100 - val_loss: 1.3323e-04 - val_mean_absolute_error: 0.0098
Epoch 43/100
  1/126 [..............................] - ETA: 0s - loss: 2.2119e-04 - mean_absolute_error: 0.0128 24/126 [====>.........................] - ETA: 0s - loss: 1.5586e-04 - mean_absolute_error: 0.0099 46/126 [=========>....................] - ETA: 0s - loss: 1.6026e-04 - mean_absolute_error: 0.0096 68/126 [===============>..............] - ETA: 0s - loss: 1.6465e-04 - mean_absolute_error: 0.0096 90/126 [====================>.........] - ETA: 0s - loss: 1.5591e-04 - mean_absolute_error: 0.0094111/126 [=========================>....] - ETA: 0s - loss: 1.5816e-04 - mean_absolute_error: 0.0094126/126 [==============================] - 0s 3ms/step - loss: 1.5915e-04 - mean_absolute_error: 0.0095 - val_loss: 9.9370e-05 - val_mean_absolute_error: 0.0083
Epoch 44/100
  1/126 [..............................] - ETA: 0s - loss: 1.8137e-04 - mean_absolute_error: 0.0098 23/126 [====>.........................] - ETA: 0s - loss: 1.6780e-04 - mean_absolute_error: 0.0095 45/126 [=========>....................] - ETA: 0s - loss: 1.5498e-04 - mean_absolute_error: 0.0093 67/126 [==============>...............] - ETA: 0s - loss: 1.5442e-04 - mean_absolute_error: 0.0094 89/126 [====================>.........] - ETA: 0s - loss: 1.5321e-04 - mean_absolute_error: 0.0094110/126 [=========================>....] - ETA: 0s - loss: 1.4540e-04 - mean_absolute_error: 0.0092126/126 [==============================] - 0s 3ms/step - loss: 1.5131e-04 - mean_absolute_error: 0.0093 - val_loss: 3.1287e-04 - val_mean_absolute_error: 0.0163
Epoch 45/100
  1/126 [..............................] - ETA: 0s - loss: 4.4745e-04 - mean_absolute_error: 0.0191 23/126 [====>.........................] - ETA: 0s - loss: 3.3682e-04 - mean_absolute_error: 0.0142 45/126 [=========>....................] - ETA: 0s - loss: 2.4520e-04 - mean_absolute_error: 0.0116 67/126 [==============>...............] - ETA: 0s - loss: 2.1687e-04 - mean_absolute_error: 0.0110 90/126 [====================>.........] - ETA: 0s - loss: 2.0040e-04 - mean_absolute_error: 0.0107112/126 [=========================>....] - ETA: 0s - loss: 1.8753e-04 - mean_absolute_error: 0.0103126/126 [==============================] - 0s 3ms/step - loss: 1.7999e-04 - mean_absolute_error: 0.0101 - val_loss: 5.9871e-05 - val_mean_absolute_error: 0.0062
Epoch 46/100
  1/126 [..............................] - ETA: 0s - loss: 1.2251e-04 - mean_absolute_error: 0.0087 23/126 [====>.........................] - ETA: 0s - loss: 1.4774e-04 - mean_absolute_error: 0.0093 45/126 [=========>....................] - ETA: 0s - loss: 1.7101e-04 - mean_absolute_error: 0.0098 67/126 [==============>...............] - ETA: 0s - loss: 1.6631e-04 - mean_absolute_error: 0.0097 88/126 [===================>..........] - ETA: 0s - loss: 1.8657e-04 - mean_absolute_error: 0.0103110/126 [=========================>....] - ETA: 0s - loss: 1.7892e-04 - mean_absolute_error: 0.0101126/126 [==============================] - 0s 3ms/step - loss: 1.7369e-04 - mean_absolute_error: 0.0100 - val_loss: 6.3912e-05 - val_mean_absolute_error: 0.0065
Epoch 47/100
  1/126 [..............................] - ETA: 0s - loss: 1.1178e-04 - mean_absolute_error: 0.0080 23/126 [====>.........................] - ETA: 0s - loss: 1.3471e-04 - mean_absolute_error: 0.0088 45/126 [=========>....................] - ETA: 0s - loss: 1.4530e-04 - mean_absolute_error: 0.0088 67/126 [==============>...............] - ETA: 0s - loss: 1.4039e-04 - mean_absolute_error: 0.0088 89/126 [====================>.........] - ETA: 0s - loss: 1.4084e-04 - mean_absolute_error: 0.0089112/126 [=========================>....] - ETA: 0s - loss: 1.3841e-04 - mean_absolute_error: 0.0089126/126 [==============================] - 0s 3ms/step - loss: 1.4146e-04 - mean_absolute_error: 0.0089 - val_loss: 9.5510e-05 - val_mean_absolute_error: 0.0080
Epoch 48/100
  1/126 [..............................] - ETA: 0s - loss: 2.5203e-04 - mean_absolute_error: 0.0126 23/126 [====>.........................] - ETA: 0s - loss: 1.8148e-04 - mean_absolute_error: 0.0093 45/126 [=========>....................] - ETA: 0s - loss: 1.6250e-04 - mean_absolute_error: 0.0092 67/126 [==============>...............] - ETA: 0s - loss: 1.4451e-04 - mean_absolute_error: 0.0089 89/126 [====================>.........] - ETA: 0s - loss: 1.4520e-04 - mean_absolute_error: 0.0089111/126 [=========================>....] - ETA: 0s - loss: 1.5069e-04 - mean_absolute_error: 0.0091126/126 [==============================] - 0s 3ms/step - loss: 1.5379e-04 - mean_absolute_error: 0.0093 - val_loss: 6.8592e-05 - val_mean_absolute_error: 0.0067
Epoch 49/100
  1/126 [..............................] - ETA: 0s - loss: 7.0984e-05 - mean_absolute_error: 0.0062 23/126 [====>.........................] - ETA: 0s - loss: 2.0312e-04 - mean_absolute_error: 0.0107 45/126 [=========>....................] - ETA: 0s - loss: 1.8687e-04 - mean_absolute_error: 0.0105 67/126 [==============>...............] - ETA: 0s - loss: 1.7050e-04 - mean_absolute_error: 0.0100 89/126 [====================>.........] - ETA: 0s - loss: 1.6362e-04 - mean_absolute_error: 0.0096109/126 [========================>.....] - ETA: 0s - loss: 1.5990e-04 - mean_absolute_error: 0.0095126/126 [==============================] - 0s 3ms/step - loss: 1.6224e-04 - mean_absolute_error: 0.0097 - val_loss: 8.1884e-05 - val_mean_absolute_error: 0.0074
Epoch 50/100
  1/126 [..............................] - ETA: 0s - loss: 2.9508e-04 - mean_absolute_error: 0.0140 23/126 [====>.........................] - ETA: 0s - loss: 1.7374e-04 - mean_absolute_error: 0.0101 45/126 [=========>....................] - ETA: 0s - loss: 1.7777e-04 - mean_absolute_error: 0.0101 67/126 [==============>...............] - ETA: 0s - loss: 1.7560e-04 - mean_absolute_error: 0.0099 89/126 [====================>.........] - ETA: 0s - loss: 1.6923e-04 - mean_absolute_error: 0.0097110/126 [=========================>....] - ETA: 0s - loss: 1.6667e-04 - mean_absolute_error: 0.0098126/126 [==============================] - 0s 3ms/step - loss: 1.6498e-04 - mean_absolute_error: 0.0097 - val_loss: 5.7456e-05 - val_mean_absolute_error: 0.0060
Epoch 51/100
  1/126 [..............................] - ETA: 0s - loss: 1.1639e-04 - mean_absolute_error: 0.0086 23/126 [====>.........................] - ETA: 0s - loss: 1.1823e-04 - mean_absolute_error: 0.0084 45/126 [=========>....................] - ETA: 0s - loss: 1.5174e-04 - mean_absolute_error: 0.0090 67/126 [==============>...............] - ETA: 0s - loss: 1.4990e-04 - mean_absolute_error: 0.0091 89/126 [====================>.........] - ETA: 0s - loss: 1.4329e-04 - mean_absolute_error: 0.0089111/126 [=========================>....] - ETA: 0s - loss: 1.4146e-04 - mean_absolute_error: 0.0089126/126 [==============================] - 0s 3ms/step - loss: 1.4424e-04 - mean_absolute_error: 0.0090 - val_loss: 5.8498e-05 - val_mean_absolute_error: 0.0061
Epoch 52/100
  1/126 [..............................] - ETA: 0s - loss: 1.8908e-04 - mean_absolute_error: 0.0096 22/126 [====>.........................] - ETA: 0s - loss: 1.4164e-04 - mean_absolute_error: 0.0085 45/126 [=========>....................] - ETA: 0s - loss: 1.6367e-04 - mean_absolute_error: 0.0096 67/126 [==============>...............] - ETA: 0s - loss: 1.6097e-04 - mean_absolute_error: 0.0097 89/126 [====================>.........] - ETA: 0s - loss: 1.6260e-04 - mean_absolute_error: 0.0095111/126 [=========================>....] - ETA: 0s - loss: 1.5702e-04 - mean_absolute_error: 0.0094126/126 [==============================] - 0s 3ms/step - loss: 1.5824e-04 - mean_absolute_error: 0.0095 - val_loss: 8.8558e-05 - val_mean_absolute_error: 0.0078
Epoch 53/100
  1/126 [..............................] - ETA: 0s - loss: 1.6690e-04 - mean_absolute_error: 0.0103 24/126 [====>.........................] - ETA: 0s - loss: 1.3083e-04 - mean_absolute_error: 0.0087 46/126 [=========>....................] - ETA: 0s - loss: 1.5033e-04 - mean_absolute_error: 0.0093 68/126 [===============>..............] - ETA: 0s - loss: 1.5010e-04 - mean_absolute_error: 0.0093 89/126 [====================>.........] - ETA: 0s - loss: 1.4830e-04 - mean_absolute_error: 0.0094111/126 [=========================>....] - ETA: 0s - loss: 1.6688e-04 - mean_absolute_error: 0.0099126/126 [==============================] - 0s 3ms/step - loss: 1.6830e-04 - mean_absolute_error: 0.0098 - val_loss: 4.7316e-05 - val_mean_absolute_error: 0.0052
Epoch 54/100
  1/126 [..............................] - ETA: 0s - loss: 1.7751e-04 - mean_absolute_error: 0.0095 23/126 [====>.........................] - ETA: 0s - loss: 1.4623e-04 - mean_absolute_error: 0.0096 45/126 [=========>....................] - ETA: 0s - loss: 1.6088e-04 - mean_absolute_error: 0.0099 67/126 [==============>...............] - ETA: 0s - loss: 1.5652e-04 - mean_absolute_error: 0.0097 89/126 [====================>.........] - ETA: 0s - loss: 1.6184e-04 - mean_absolute_error: 0.0097111/126 [=========================>....] - ETA: 0s - loss: 1.7604e-04 - mean_absolute_error: 0.0101126/126 [==============================] - 0s 3ms/step - loss: 1.7246e-04 - mean_absolute_error: 0.0100 - val_loss: 1.2413e-04 - val_mean_absolute_error: 0.0094
Epoch 55/100
  1/126 [..............................] - ETA: 0s - loss: 2.8713e-04 - mean_absolute_error: 0.0143 23/126 [====>.........................] - ETA: 0s - loss: 1.7877e-04 - mean_absolute_error: 0.0106 42/126 [=========>....................] - ETA: 0s - loss: 1.6736e-04 - mean_absolute_error: 0.0102 62/126 [=============>................] - ETA: 0s - loss: 1.7250e-04 - mean_absolute_error: 0.0102 84/126 [===================>..........] - ETA: 0s - loss: 1.7027e-04 - mean_absolute_error: 0.0099106/126 [========================>.....] - ETA: 0s - loss: 1.6765e-04 - mean_absolute_error: 0.0099126/126 [==============================] - 0s 3ms/step - loss: 1.7552e-04 - mean_absolute_error: 0.0102 - val_loss: 7.4861e-05 - val_mean_absolute_error: 0.0071
Epoch 56/100
  1/126 [..............................] - ETA: 0s - loss: 1.5125e-04 - mean_absolute_error: 0.0099 23/126 [====>.........................] - ETA: 0s - loss: 1.6571e-04 - mean_absolute_error: 0.0103 45/126 [=========>....................] - ETA: 0s - loss: 1.3859e-04 - mean_absolute_error: 0.0092 66/126 [==============>...............] - ETA: 0s - loss: 1.4258e-04 - mean_absolute_error: 0.0092 87/126 [===================>..........] - ETA: 0s - loss: 1.5327e-04 - mean_absolute_error: 0.0092109/126 [========================>.....] - ETA: 0s - loss: 1.5412e-04 - mean_absolute_error: 0.0093126/126 [==============================] - 0s 3ms/step - loss: 1.5416e-04 - mean_absolute_error: 0.0094 - val_loss: 4.7964e-05 - val_mean_absolute_error: 0.0054
Epoch 57/100
  1/126 [..............................] - ETA: 0s - loss: 1.6057e-04 - mean_absolute_error: 0.0090 23/126 [====>.........................] - ETA: 0s - loss: 1.3816e-04 - mean_absolute_error: 0.0090 45/126 [=========>....................] - ETA: 0s - loss: 1.3345e-04 - mean_absolute_error: 0.0087 67/126 [==============>...............] - ETA: 0s - loss: 1.3494e-04 - mean_absolute_error: 0.0088 88/126 [===================>..........] - ETA: 0s - loss: 1.3995e-04 - mean_absolute_error: 0.0089109/126 [========================>.....] - ETA: 0s - loss: 1.4028e-04 - mean_absolute_error: 0.0089126/126 [==============================] - 0s 3ms/step - loss: 1.4561e-04 - mean_absolute_error: 0.0090 - val_loss: 6.0135e-05 - val_mean_absolute_error: 0.0062
Epoch 58/100
  1/126 [..............................] - ETA: 0s - loss: 7.8126e-05 - mean_absolute_error: 0.0072 24/126 [====>.........................] - ETA: 0s - loss: 1.4701e-04 - mean_absolute_error: 0.0093 45/126 [=========>....................] - ETA: 0s - loss: 1.4855e-04 - mean_absolute_error: 0.0095 66/126 [==============>...............] - ETA: 0s - loss: 1.3916e-04 - mean_absolute_error: 0.0092 87/126 [===================>..........] - ETA: 0s - loss: 1.4838e-04 - mean_absolute_error: 0.0093109/126 [========================>.....] - ETA: 0s - loss: 1.4111e-04 - mean_absolute_error: 0.0090126/126 [==============================] - 0s 3ms/step - loss: 1.4493e-04 - mean_absolute_error: 0.0091 - val_loss: 4.7850e-05 - val_mean_absolute_error: 0.0054
Epoch 59/100
  1/126 [..............................] - ETA: 0s - loss: 5.2196e-05 - mean_absolute_error: 0.0057 23/126 [====>.........................] - ETA: 0s - loss: 1.2088e-04 - mean_absolute_error: 0.0084 45/126 [=========>....................] - ETA: 0s - loss: 1.3116e-04 - mean_absolute_error: 0.0087 67/126 [==============>...............] - ETA: 0s - loss: 1.5518e-04 - mean_absolute_error: 0.0094 88/126 [===================>..........] - ETA: 0s - loss: 1.4918e-04 - mean_absolute_error: 0.0093110/126 [=========================>....] - ETA: 0s - loss: 1.5504e-04 - mean_absolute_error: 0.0094126/126 [==============================] - 0s 3ms/step - loss: 1.5379e-04 - mean_absolute_error: 0.0093 - val_loss: 7.5561e-05 - val_mean_absolute_error: 0.0071
Epoch 60/100
  1/126 [..............................] - ETA: 0s - loss: 1.7253e-04 - mean_absolute_error: 0.0110 23/126 [====>.........................] - ETA: 0s - loss: 1.5088e-04 - mean_absolute_error: 0.0088 45/126 [=========>....................] - ETA: 0s - loss: 1.4597e-04 - mean_absolute_error: 0.0089 68/126 [===============>..............] - ETA: 0s - loss: 1.4659e-04 - mean_absolute_error: 0.0091 90/126 [====================>.........] - ETA: 0s - loss: 1.5175e-04 - mean_absolute_error: 0.0092111/126 [=========================>....] - ETA: 0s - loss: 1.4903e-04 - mean_absolute_error: 0.0092126/126 [==============================] - 0s 3ms/step - loss: 1.5603e-04 - mean_absolute_error: 0.0094 - val_loss: 1.1373e-04 - val_mean_absolute_error: 0.0091
Epoch 61/100
  1/126 [..............................] - ETA: 0s - loss: 2.0162e-04 - mean_absolute_error: 0.0112 23/126 [====>.........................] - ETA: 0s - loss: 2.4627e-04 - mean_absolute_error: 0.0114 45/126 [=========>....................] - ETA: 0s - loss: 2.0165e-04 - mean_absolute_error: 0.0105 67/126 [==============>...............] - ETA: 0s - loss: 1.8419e-04 - mean_absolute_error: 0.0101 89/126 [====================>.........] - ETA: 0s - loss: 1.7481e-04 - mean_absolute_error: 0.0099110/126 [=========================>....] - ETA: 0s - loss: 1.6697e-04 - mean_absolute_error: 0.0097126/126 [==============================] - 0s 3ms/step - loss: 1.6225e-04 - mean_absolute_error: 0.0096 - val_loss: 4.6182e-05 - val_mean_absolute_error: 0.0052
Epoch 62/100
  1/126 [..............................] - ETA: 0s - loss: 1.4363e-04 - mean_absolute_error: 0.0082 23/126 [====>.........................] - ETA: 0s - loss: 1.1505e-04 - mean_absolute_error: 0.0083 45/126 [=========>....................] - ETA: 0s - loss: 1.3471e-04 - mean_absolute_error: 0.0086 65/126 [==============>...............] - ETA: 0s - loss: 1.3987e-04 - mean_absolute_error: 0.0090 87/126 [===================>..........] - ETA: 0s - loss: 1.4766e-04 - mean_absolute_error: 0.0090109/126 [========================>.....] - ETA: 0s - loss: 1.5254e-04 - mean_absolute_error: 0.0093126/126 [==============================] - 0s 3ms/step - loss: 1.5309e-04 - mean_absolute_error: 0.0093 - val_loss: 4.7382e-05 - val_mean_absolute_error: 0.0054
Epoch 63/100
  1/126 [..............................] - ETA: 0s - loss: 1.0741e-04 - mean_absolute_error: 0.0079 24/126 [====>.........................] - ETA: 0s - loss: 1.2049e-04 - mean_absolute_error: 0.0083 46/126 [=========>....................] - ETA: 0s - loss: 1.5513e-04 - mean_absolute_error: 0.0090 68/126 [===============>..............] - ETA: 0s - loss: 1.7746e-04 - mean_absolute_error: 0.0099 90/126 [====================>.........] - ETA: 0s - loss: 1.7419e-04 - mean_absolute_error: 0.0099111/126 [=========================>....] - ETA: 0s - loss: 1.6842e-04 - mean_absolute_error: 0.0097126/126 [==============================] - 0s 3ms/step - loss: 1.6466e-04 - mean_absolute_error: 0.0097 - val_loss: 6.1684e-05 - val_mean_absolute_error: 0.0063
Epoch 64/100
  1/126 [..............................] - ETA: 0s - loss: 1.7949e-04 - mean_absolute_error: 0.0100 23/126 [====>.........................] - ETA: 0s - loss: 1.7108e-04 - mean_absolute_error: 0.0102 45/126 [=========>....................] - ETA: 0s - loss: 1.6712e-04 - mean_absolute_error: 0.0102 67/126 [==============>...............] - ETA: 0s - loss: 1.5959e-04 - mean_absolute_error: 0.0099 89/126 [====================>.........] - ETA: 0s - loss: 1.6163e-04 - mean_absolute_error: 0.0096111/126 [=========================>....] - ETA: 0s - loss: 1.5659e-04 - mean_absolute_error: 0.0095126/126 [==============================] - 0s 3ms/step - loss: 1.5455e-04 - mean_absolute_error: 0.0094 - val_loss: 4.8549e-05 - val_mean_absolute_error: 0.0055
Epoch 65/100
  1/126 [..............................] - ETA: 0s - loss: 9.3439e-05 - mean_absolute_error: 0.0066 23/126 [====>.........................] - ETA: 0s - loss: 1.5452e-04 - mean_absolute_error: 0.0096 45/126 [=========>....................] - ETA: 0s - loss: 1.6034e-04 - mean_absolute_error: 0.0095 67/126 [==============>...............] - ETA: 0s - loss: 1.4895e-04 - mean_absolute_error: 0.0092 89/126 [====================>.........] - ETA: 0s - loss: 1.4279e-04 - mean_absolute_error: 0.0090111/126 [=========================>....] - ETA: 0s - loss: 1.4729e-04 - mean_absolute_error: 0.0091126/126 [==============================] - 0s 3ms/step - loss: 1.4971e-04 - mean_absolute_error: 0.0092 - val_loss: 1.3334e-04 - val_mean_absolute_error: 0.0099
Epoch 66/100
  1/126 [..............................] - ETA: 0s - loss: 3.1997e-04 - mean_absolute_error: 0.0149 19/126 [===>..........................] - ETA: 0s - loss: 2.3397e-04 - mean_absolute_error: 0.0125 41/126 [========>.....................] - ETA: 0s - loss: 2.0542e-04 - mean_absolute_error: 0.0111 63/126 [==============>...............] - ETA: 0s - loss: 1.8182e-04 - mean_absolute_error: 0.0104 85/126 [===================>..........] - ETA: 0s - loss: 1.6610e-04 - mean_absolute_error: 0.0098107/126 [========================>.....] - ETA: 0s - loss: 1.5592e-04 - mean_absolute_error: 0.0095126/126 [==============================] - 0s 3ms/step - loss: 1.5758e-04 - mean_absolute_error: 0.0095 - val_loss: 4.5939e-05 - val_mean_absolute_error: 0.0052
Epoch 67/100
  1/126 [..............................] - ETA: 0s - loss: 7.7973e-05 - mean_absolute_error: 0.0062 23/126 [====>.........................] - ETA: 0s - loss: 1.4451e-04 - mean_absolute_error: 0.0087 45/126 [=========>....................] - ETA: 0s - loss: 1.4768e-04 - mean_absolute_error: 0.0090 67/126 [==============>...............] - ETA: 0s - loss: 1.4571e-04 - mean_absolute_error: 0.0091 88/126 [===================>..........] - ETA: 0s - loss: 1.5014e-04 - mean_absolute_error: 0.0091109/126 [========================>.....] - ETA: 0s - loss: 1.4921e-04 - mean_absolute_error: 0.0092126/126 [==============================] - 0s 3ms/step - loss: 1.4358e-04 - mean_absolute_error: 0.0090 - val_loss: 5.0663e-05 - val_mean_absolute_error: 0.0057
Epoch 68/100
  1/126 [..............................] - ETA: 0s - loss: 6.8013e-05 - mean_absolute_error: 0.0062 23/126 [====>.........................] - ETA: 0s - loss: 1.1630e-04 - mean_absolute_error: 0.0084 45/126 [=========>....................] - ETA: 0s - loss: 1.3336e-04 - mean_absolute_error: 0.0087 67/126 [==============>...............] - ETA: 0s - loss: 1.2761e-04 - mean_absolute_error: 0.0085 89/126 [====================>.........] - ETA: 0s - loss: 1.2760e-04 - mean_absolute_error: 0.0085111/126 [=========================>....] - ETA: 0s - loss: 1.3118e-04 - mean_absolute_error: 0.0086126/126 [==============================] - 0s 3ms/step - loss: 1.3541e-04 - mean_absolute_error: 0.0086 - val_loss: 7.5739e-05 - val_mean_absolute_error: 0.0072
Epoch 69/100
  1/126 [..............................] - ETA: 0s - loss: 1.2138e-04 - mean_absolute_error: 0.0089 24/126 [====>.........................] - ETA: 0s - loss: 1.3653e-04 - mean_absolute_error: 0.0089 47/126 [==========>...................] - ETA: 0s - loss: 1.2644e-04 - mean_absolute_error: 0.0085 70/126 [===============>..............] - ETA: 0s - loss: 1.5165e-04 - mean_absolute_error: 0.0090 92/126 [====================>.........] - ETA: 0s - loss: 1.4748e-04 - mean_absolute_error: 0.0090114/126 [==========================>...] - ETA: 0s - loss: 1.5246e-04 - mean_absolute_error: 0.0092126/126 [==============================] - 0s 3ms/step - loss: 1.5045e-04 - mean_absolute_error: 0.0092 - val_loss: 8.6990e-05 - val_mean_absolute_error: 0.0077
Epoch 70/100
  1/126 [..............................] - ETA: 0s - loss: 2.5458e-04 - mean_absolute_error: 0.0113 23/126 [====>.........................] - ETA: 0s - loss: 1.8911e-04 - mean_absolute_error: 0.0098 45/126 [=========>....................] - ETA: 0s - loss: 1.6276e-04 - mean_absolute_error: 0.0094 67/126 [==============>...............] - ETA: 0s - loss: 1.5805e-04 - mean_absolute_error: 0.0094 90/126 [====================>.........] - ETA: 0s - loss: 1.7703e-04 - mean_absolute_error: 0.0101112/126 [=========================>....] - ETA: 0s - loss: 1.6850e-04 - mean_absolute_error: 0.0098126/126 [==============================] - 0s 3ms/step - loss: 1.6463e-04 - mean_absolute_error: 0.0097 - val_loss: 1.2774e-04 - val_mean_absolute_error: 0.0097
Epoch 71/100
  1/126 [..............................] - ETA: 0s - loss: 1.6797e-04 - mean_absolute_error: 0.0102 23/126 [====>.........................] - ETA: 0s - loss: 1.6162e-04 - mean_absolute_error: 0.0093 45/126 [=========>....................] - ETA: 0s - loss: 1.5191e-04 - mean_absolute_error: 0.0091 67/126 [==============>...............] - ETA: 0s - loss: 1.5013e-04 - mean_absolute_error: 0.0089 89/126 [====================>.........] - ETA: 0s - loss: 1.4094e-04 - mean_absolute_error: 0.0087111/126 [=========================>....] - ETA: 0s - loss: 1.3473e-04 - mean_absolute_error: 0.0086126/126 [==============================] - 0s 3ms/step - loss: 1.3265e-04 - mean_absolute_error: 0.0085 - val_loss: 4.7863e-05 - val_mean_absolute_error: 0.0055
Epoch 72/100
  1/126 [..............................] - ETA: 0s - loss: 1.4089e-04 - mean_absolute_error: 0.0094 24/126 [====>.........................] - ETA: 0s - loss: 1.7123e-04 - mean_absolute_error: 0.0102 47/126 [==========>...................] - ETA: 0s - loss: 1.6631e-04 - mean_absolute_error: 0.0100 69/126 [===============>..............] - ETA: 0s - loss: 1.5944e-04 - mean_absolute_error: 0.0096 91/126 [====================>.........] - ETA: 0s - loss: 1.5130e-04 - mean_absolute_error: 0.0093113/126 [=========================>....] - ETA: 0s - loss: 1.5949e-04 - mean_absolute_error: 0.0095126/126 [==============================] - 0s 3ms/step - loss: 1.6087e-04 - mean_absolute_error: 0.0096 - val_loss: 6.6773e-05 - val_mean_absolute_error: 0.0067
Epoch 73/100
  1/126 [..............................] - ETA: 0s - loss: 1.1757e-04 - mean_absolute_error: 0.0087 23/126 [====>.........................] - ETA: 0s - loss: 1.5368e-04 - mean_absolute_error: 0.0094 46/126 [=========>....................] - ETA: 0s - loss: 1.4508e-04 - mean_absolute_error: 0.0091 67/126 [==============>...............] - ETA: 0s - loss: 1.3681e-04 - mean_absolute_error: 0.0088 89/126 [====================>.........] - ETA: 0s - loss: 1.4280e-04 - mean_absolute_error: 0.0089111/126 [=========================>....] - ETA: 0s - loss: 1.4197e-04 - mean_absolute_error: 0.0088126/126 [==============================] - 0s 3ms/step - loss: 1.4034e-04 - mean_absolute_error: 0.0088 - val_loss: 1.2608e-04 - val_mean_absolute_error: 0.0095
Epoch 74/100
  1/126 [..............................] - ETA: 0s - loss: 2.6250e-04 - mean_absolute_error: 0.0140 23/126 [====>.........................] - ETA: 0s - loss: 1.8336e-04 - mean_absolute_error: 0.0104 44/126 [=========>....................] - ETA: 0s - loss: 1.7594e-04 - mean_absolute_error: 0.0100 66/126 [==============>...............] - ETA: 0s - loss: 1.7571e-04 - mean_absolute_error: 0.0100 88/126 [===================>..........] - ETA: 0s - loss: 1.6235e-04 - mean_absolute_error: 0.0097110/126 [=========================>....] - ETA: 0s - loss: 1.5923e-04 - mean_absolute_error: 0.0094126/126 [==============================] - 0s 3ms/step - loss: 1.5661e-04 - mean_absolute_error: 0.0094 - val_loss: 8.0961e-05 - val_mean_absolute_error: 0.0074
Epoch 75/100
  1/126 [..............................] - ETA: 0s - loss: 7.0830e-05 - mean_absolute_error: 0.0066 24/126 [====>.........................] - ETA: 0s - loss: 1.7482e-04 - mean_absolute_error: 0.0096 47/126 [==========>...................] - ETA: 0s - loss: 1.8071e-04 - mean_absolute_error: 0.0101 70/126 [===============>..............] - ETA: 0s - loss: 1.5769e-04 - mean_absolute_error: 0.0094 92/126 [====================>.........] - ETA: 0s - loss: 1.5619e-04 - mean_absolute_error: 0.0093114/126 [==========================>...] - ETA: 0s - loss: 1.5483e-04 - mean_absolute_error: 0.0093126/126 [==============================] - 0s 3ms/step - loss: 1.5358e-04 - mean_absolute_error: 0.0093 - val_loss: 5.1733e-05 - val_mean_absolute_error: 0.0057
Epoch 76/100
  1/126 [..............................] - ETA: 0s - loss: 8.0646e-05 - mean_absolute_error: 0.0070 24/126 [====>.........................] - ETA: 0s - loss: 1.3142e-04 - mean_absolute_error: 0.0087 46/126 [=========>....................] - ETA: 0s - loss: 1.2458e-04 - mean_absolute_error: 0.0085 65/126 [==============>...............] - ETA: 0s - loss: 1.3195e-04 - mean_absolute_error: 0.0088 87/126 [===================>..........] - ETA: 0s - loss: 1.3114e-04 - mean_absolute_error: 0.0088109/126 [========================>.....] - ETA: 0s - loss: 1.3337e-04 - mean_absolute_error: 0.0088126/126 [==============================] - 0s 3ms/step - loss: 1.3561e-04 - mean_absolute_error: 0.0087 - val_loss: 6.5435e-05 - val_mean_absolute_error: 0.0066
Epoch 77/100
  1/126 [..............................] - ETA: 0s - loss: 3.1392e-04 - mean_absolute_error: 0.0136 23/126 [====>.........................] - ETA: 0s - loss: 1.3053e-04 - mean_absolute_error: 0.0087 45/126 [=========>....................] - ETA: 0s - loss: 1.4645e-04 - mean_absolute_error: 0.0093 68/126 [===============>..............] - ETA: 0s - loss: 1.4789e-04 - mean_absolute_error: 0.0094 90/126 [====================>.........] - ETA: 0s - loss: 1.4952e-04 - mean_absolute_error: 0.0093112/126 [=========================>....] - ETA: 0s - loss: 1.4631e-04 - mean_absolute_error: 0.0093126/126 [==============================] - 0s 3ms/step - loss: 1.5139e-04 - mean_absolute_error: 0.0093 - val_loss: 1.2101e-04 - val_mean_absolute_error: 0.0093
Epoch 78/100
  1/126 [..............................] - ETA: 0s - loss: 1.5927e-04 - mean_absolute_error: 0.0105 23/126 [====>.........................] - ETA: 0s - loss: 1.3388e-04 - mean_absolute_error: 0.0090 45/126 [=========>....................] - ETA: 0s - loss: 1.2730e-04 - mean_absolute_error: 0.0087 67/126 [==============>...............] - ETA: 0s - loss: 1.2638e-04 - mean_absolute_error: 0.0086 90/126 [====================>.........] - ETA: 0s - loss: 1.4649e-04 - mean_absolute_error: 0.0092113/126 [=========================>....] - ETA: 0s - loss: 1.4863e-04 - mean_absolute_error: 0.0092126/126 [==============================] - 0s 3ms/step - loss: 1.4627e-04 - mean_absolute_error: 0.0091 - val_loss: 5.1100e-05 - val_mean_absolute_error: 0.0057
Epoch 79/100
  1/126 [..............................] - ETA: 0s - loss: 1.9565e-04 - mean_absolute_error: 0.0100 24/126 [====>.........................] - ETA: 0s - loss: 1.2482e-04 - mean_absolute_error: 0.0083 47/126 [==========>...................] - ETA: 0s - loss: 1.4521e-04 - mean_absolute_error: 0.0091 69/126 [===============>..............] - ETA: 0s - loss: 1.3406e-04 - mean_absolute_error: 0.0088 92/126 [====================>.........] - ETA: 0s - loss: 1.2987e-04 - mean_absolute_error: 0.0087114/126 [==========================>...] - ETA: 0s - loss: 1.3707e-04 - mean_absolute_error: 0.0087126/126 [==============================] - 0s 3ms/step - loss: 1.3671e-04 - mean_absolute_error: 0.0087 - val_loss: 7.6422e-05 - val_mean_absolute_error: 0.0072
Epoch 80/100
  1/126 [..............................] - ETA: 0s - loss: 1.4927e-04 - mean_absolute_error: 0.0101 23/126 [====>.........................] - ETA: 0s - loss: 1.4562e-04 - mean_absolute_error: 0.0092 45/126 [=========>....................] - ETA: 0s - loss: 1.3167e-04 - mean_absolute_error: 0.0087 67/126 [==============>...............] - ETA: 0s - loss: 1.5495e-04 - mean_absolute_error: 0.0092 89/126 [====================>.........] - ETA: 0s - loss: 1.7293e-04 - mean_absolute_error: 0.0099111/126 [=========================>....] - ETA: 0s - loss: 1.7032e-04 - mean_absolute_error: 0.0099126/126 [==============================] - 0s 3ms/step - loss: 1.6699e-04 - mean_absolute_error: 0.0098 - val_loss: 5.1005e-05 - val_mean_absolute_error: 0.0056
Epoch 81/100
  1/126 [..............................] - ETA: 0s - loss: 9.1869e-05 - mean_absolute_error: 0.0065 23/126 [====>.........................] - ETA: 0s - loss: 1.1229e-04 - mean_absolute_error: 0.0081 45/126 [=========>....................] - ETA: 0s - loss: 1.1330e-04 - mean_absolute_error: 0.0082 67/126 [==============>...............] - ETA: 0s - loss: 1.1452e-04 - mean_absolute_error: 0.0082 89/126 [====================>.........] - ETA: 0s - loss: 1.2191e-04 - mean_absolute_error: 0.0083111/126 [=========================>....] - ETA: 0s - loss: 1.2355e-04 - mean_absolute_error: 0.0084126/126 [==============================] - 0s 3ms/step - loss: 1.2627e-04 - mean_absolute_error: 0.0084 - val_loss: 4.3917e-05 - val_mean_absolute_error: 0.0051
Epoch 82/100
  1/126 [..............................] - ETA: 0s - loss: 8.6206e-05 - mean_absolute_error: 0.0080 23/126 [====>.........................] - ETA: 0s - loss: 1.6667e-04 - mean_absolute_error: 0.0093 45/126 [=========>....................] - ETA: 0s - loss: 1.4763e-04 - mean_absolute_error: 0.0091 67/126 [==============>...............] - ETA: 0s - loss: 1.4539e-04 - mean_absolute_error: 0.0089 88/126 [===================>..........] - ETA: 0s - loss: 1.4055e-04 - mean_absolute_error: 0.0088110/126 [=========================>....] - ETA: 0s - loss: 1.3305e-04 - mean_absolute_error: 0.0086126/126 [==============================] - 0s 3ms/step - loss: 1.3048e-04 - mean_absolute_error: 0.0085 - val_loss: 4.4104e-05 - val_mean_absolute_error: 0.0051
Epoch 83/100
  1/126 [..............................] - ETA: 0s - loss: 9.1937e-05 - mean_absolute_error: 0.0075 21/126 [====>.........................] - ETA: 0s - loss: 1.1768e-04 - mean_absolute_error: 0.0083 40/126 [========>.....................] - ETA: 0s - loss: 1.2434e-04 - mean_absolute_error: 0.0085 59/126 [=============>................] - ETA: 0s - loss: 1.3392e-04 - mean_absolute_error: 0.0089 77/126 [=================>............] - ETA: 0s - loss: 1.3855e-04 - mean_absolute_error: 0.0091 97/126 [======================>.......] - ETA: 0s - loss: 1.4135e-04 - mean_absolute_error: 0.0091116/126 [==========================>...] - ETA: 0s - loss: 1.4218e-04 - mean_absolute_error: 0.0090126/126 [==============================] - 0s 3ms/step - loss: 1.4126e-04 - mean_absolute_error: 0.0090 - val_loss: 4.4395e-05 - val_mean_absolute_error: 0.0052
Epoch 84/100
  1/126 [..............................] - ETA: 0s - loss: 9.8733e-05 - mean_absolute_error: 0.0073 23/126 [====>.........................] - ETA: 0s - loss: 1.3614e-04 - mean_absolute_error: 0.0085 44/126 [=========>....................] - ETA: 0s - loss: 1.3131e-04 - mean_absolute_error: 0.0085 66/126 [==============>...............] - ETA: 0s - loss: 1.3110e-04 - mean_absolute_error: 0.0086 88/126 [===================>..........] - ETA: 0s - loss: 1.4055e-04 - mean_absolute_error: 0.0087111/126 [=========================>....] - ETA: 0s - loss: 1.3369e-04 - mean_absolute_error: 0.0086126/126 [==============================] - 0s 3ms/step - loss: 1.3272e-04 - mean_absolute_error: 0.0086 - val_loss: 7.9347e-05 - val_mean_absolute_error: 0.0074
Epoch 85/100
  1/126 [..............................] - ETA: 0s - loss: 1.9096e-04 - mean_absolute_error: 0.0118 24/126 [====>.........................] - ETA: 0s - loss: 1.6461e-04 - mean_absolute_error: 0.0099 46/126 [=========>....................] - ETA: 0s - loss: 1.9055e-04 - mean_absolute_error: 0.0106 68/126 [===============>..............] - ETA: 0s - loss: 1.7349e-04 - mean_absolute_error: 0.0101 90/126 [====================>.........] - ETA: 0s - loss: 1.6022e-04 - mean_absolute_error: 0.0097112/126 [=========================>....] - ETA: 0s - loss: 1.5528e-04 - mean_absolute_error: 0.0094126/126 [==============================] - 0s 3ms/step - loss: 1.5024e-04 - mean_absolute_error: 0.0093 - val_loss: 4.5659e-05 - val_mean_absolute_error: 0.0053
Epoch 86/100
  1/126 [..............................] - ETA: 0s - loss: 9.2694e-05 - mean_absolute_error: 0.0082 23/126 [====>.........................] - ETA: 0s - loss: 1.1869e-04 - mean_absolute_error: 0.0083 44/126 [=========>....................] - ETA: 0s - loss: 1.2593e-04 - mean_absolute_error: 0.0082 66/126 [==============>...............] - ETA: 0s - loss: 1.2080e-04 - mean_absolute_error: 0.0082 88/126 [===================>..........] - ETA: 0s - loss: 1.2655e-04 - mean_absolute_error: 0.0084110/126 [=========================>....] - ETA: 0s - loss: 1.3537e-04 - mean_absolute_error: 0.0088126/126 [==============================] - 0s 3ms/step - loss: 1.4308e-04 - mean_absolute_error: 0.0090 - val_loss: 6.7774e-05 - val_mean_absolute_error: 0.0067
Epoch 87/100
  1/126 [..............................] - ETA: 0s - loss: 1.5835e-04 - mean_absolute_error: 0.0093 23/126 [====>.........................] - ETA: 0s - loss: 1.2236e-04 - mean_absolute_error: 0.0086 45/126 [=========>....................] - ETA: 0s - loss: 1.3039e-04 - mean_absolute_error: 0.0088 68/126 [===============>..............] - ETA: 0s - loss: 1.3097e-04 - mean_absolute_error: 0.0087 90/126 [====================>.........] - ETA: 0s - loss: 1.3330e-04 - mean_absolute_error: 0.0087111/126 [=========================>....] - ETA: 0s - loss: 1.3871e-04 - mean_absolute_error: 0.0089126/126 [==============================] - 0s 3ms/step - loss: 1.3742e-04 - mean_absolute_error: 0.0089 - val_loss: 4.6340e-05 - val_mean_absolute_error: 0.0053
Epoch 88/100
  1/126 [..............................] - ETA: 0s - loss: 1.0651e-04 - mean_absolute_error: 0.0077 23/126 [====>.........................] - ETA: 0s - loss: 1.3949e-04 - mean_absolute_error: 0.0085 45/126 [=========>....................] - ETA: 0s - loss: 1.2322e-04 - mean_absolute_error: 0.0082 67/126 [==============>...............] - ETA: 0s - loss: 1.2258e-04 - mean_absolute_error: 0.0083 89/126 [====================>.........] - ETA: 0s - loss: 1.2326e-04 - mean_absolute_error: 0.0082111/126 [=========================>....] - ETA: 0s - loss: 1.1888e-04 - mean_absolute_error: 0.0081126/126 [==============================] - 0s 3ms/step - loss: 1.1926e-04 - mean_absolute_error: 0.0081 - val_loss: 4.6956e-05 - val_mean_absolute_error: 0.0054
Epoch 89/100
  1/126 [..............................] - ETA: 0s - loss: 1.5306e-04 - mean_absolute_error: 0.0087 23/126 [====>.........................] - ETA: 0s - loss: 1.3493e-04 - mean_absolute_error: 0.0090 45/126 [=========>....................] - ETA: 0s - loss: 1.3740e-04 - mean_absolute_error: 0.0090 67/126 [==============>...............] - ETA: 0s - loss: 1.3552e-04 - mean_absolute_error: 0.0089 90/126 [====================>.........] - ETA: 0s - loss: 1.2987e-04 - mean_absolute_error: 0.0087112/126 [=========================>....] - ETA: 0s - loss: 1.2994e-04 - mean_absolute_error: 0.0087126/126 [==============================] - 0s 3ms/step - loss: 1.3427e-04 - mean_absolute_error: 0.0087 - val_loss: 1.0344e-04 - val_mean_absolute_error: 0.0086
Epoch 90/100
  1/126 [..............................] - ETA: 0s - loss: 1.3231e-04 - mean_absolute_error: 0.0095 21/126 [====>.........................] - ETA: 0s - loss: 1.7092e-04 - mean_absolute_error: 0.0102 43/126 [=========>....................] - ETA: 0s - loss: 1.4629e-04 - mean_absolute_error: 0.0093 65/126 [==============>...............] - ETA: 0s - loss: 1.4500e-04 - mean_absolute_error: 0.0092 87/126 [===================>..........] - ETA: 0s - loss: 1.3714e-04 - mean_absolute_error: 0.0090109/126 [========================>.....] - ETA: 0s - loss: 1.3336e-04 - mean_absolute_error: 0.0088126/126 [==============================] - 0s 3ms/step - loss: 1.4009e-04 - mean_absolute_error: 0.0090 - val_loss: 4.7824e-05 - val_mean_absolute_error: 0.0055
Epoch 91/100
  1/126 [..............................] - ETA: 0s - loss: 1.2895e-04 - mean_absolute_error: 0.0097 24/126 [====>.........................] - ETA: 0s - loss: 1.2663e-04 - mean_absolute_error: 0.0088 45/126 [=========>....................] - ETA: 0s - loss: 1.3641e-04 - mean_absolute_error: 0.0091 67/126 [==============>...............] - ETA: 0s - loss: 1.8886e-04 - mean_absolute_error: 0.0103 90/126 [====================>.........] - ETA: 0s - loss: 1.8509e-04 - mean_absolute_error: 0.0104112/126 [=========================>....] - ETA: 0s - loss: 1.7373e-04 - mean_absolute_error: 0.0100126/126 [==============================] - 0s 3ms/step - loss: 1.6864e-04 - mean_absolute_error: 0.0099 - val_loss: 4.1948e-05 - val_mean_absolute_error: 0.0048
Epoch 92/100
  1/126 [..............................] - ETA: 0s - loss: 1.3992e-04 - mean_absolute_error: 0.0087 23/126 [====>.........................] - ETA: 0s - loss: 1.4518e-04 - mean_absolute_error: 0.0095 45/126 [=========>....................] - ETA: 0s - loss: 1.5944e-04 - mean_absolute_error: 0.0096 67/126 [==============>...............] - ETA: 0s - loss: 1.4412e-04 - mean_absolute_error: 0.0091 89/126 [====================>.........] - ETA: 0s - loss: 1.4901e-04 - mean_absolute_error: 0.0092112/126 [=========================>....] - ETA: 0s - loss: 1.4188e-04 - mean_absolute_error: 0.0090126/126 [==============================] - 0s 3ms/step - loss: 1.3758e-04 - mean_absolute_error: 0.0089 - val_loss: 5.8066e-05 - val_mean_absolute_error: 0.0062
Epoch 93/100
  1/126 [..............................] - ETA: 0s - loss: 1.5430e-04 - mean_absolute_error: 0.0101 24/126 [====>.........................] - ETA: 0s - loss: 1.8887e-04 - mean_absolute_error: 0.0107 46/126 [=========>....................] - ETA: 0s - loss: 1.8860e-04 - mean_absolute_error: 0.0103 69/126 [===============>..............] - ETA: 0s - loss: 1.8357e-04 - mean_absolute_error: 0.0104 92/126 [====================>.........] - ETA: 0s - loss: 1.6857e-04 - mean_absolute_error: 0.0100114/126 [==========================>...] - ETA: 0s - loss: 1.6208e-04 - mean_absolute_error: 0.0098126/126 [==============================] - 0s 3ms/step - loss: 1.5771e-04 - mean_absolute_error: 0.0097 - val_loss: 4.1720e-05 - val_mean_absolute_error: 0.0048
Epoch 94/100
  1/126 [..............................] - ETA: 0s - loss: 7.3304e-05 - mean_absolute_error: 0.0063 23/126 [====>.........................] - ETA: 0s - loss: 1.0120e-04 - mean_absolute_error: 0.0077 45/126 [=========>....................] - ETA: 0s - loss: 1.5764e-04 - mean_absolute_error: 0.0092 68/126 [===============>..............] - ETA: 0s - loss: 1.7800e-04 - mean_absolute_error: 0.0100 90/126 [====================>.........] - ETA: 0s - loss: 1.6142e-04 - mean_absolute_error: 0.0095112/126 [=========================>....] - ETA: 0s - loss: 1.5218e-04 - mean_absolute_error: 0.0093126/126 [==============================] - 0s 3ms/step - loss: 1.4962e-04 - mean_absolute_error: 0.0092 - val_loss: 7.0274e-05 - val_mean_absolute_error: 0.0069
Epoch 95/100
  1/126 [..............................] - ETA: 0s - loss: 8.8100e-05 - mean_absolute_error: 0.0075 23/126 [====>.........................] - ETA: 0s - loss: 1.2010e-04 - mean_absolute_error: 0.0081 45/126 [=========>....................] - ETA: 0s - loss: 1.1954e-04 - mean_absolute_error: 0.0082 68/126 [===============>..............] - ETA: 0s - loss: 1.1819e-04 - mean_absolute_error: 0.0080 90/126 [====================>.........] - ETA: 0s - loss: 1.2118e-04 - mean_absolute_error: 0.0081111/126 [=========================>....] - ETA: 0s - loss: 1.1878e-04 - mean_absolute_error: 0.0081126/126 [==============================] - 0s 3ms/step - loss: 1.1639e-04 - mean_absolute_error: 0.0080 - val_loss: 4.1304e-05 - val_mean_absolute_error: 0.0047
Epoch 96/100
  1/126 [..............................] - ETA: 0s - loss: 1.1572e-04 - mean_absolute_error: 0.0076 23/126 [====>.........................] - ETA: 0s - loss: 1.6781e-04 - mean_absolute_error: 0.0101 45/126 [=========>....................] - ETA: 0s - loss: 1.5093e-04 - mean_absolute_error: 0.0096 67/126 [==============>...............] - ETA: 0s - loss: 1.4165e-04 - mean_absolute_error: 0.0093 89/126 [====================>.........] - ETA: 0s - loss: 1.3946e-04 - mean_absolute_error: 0.0090111/126 [=========================>....] - ETA: 0s - loss: 1.4073e-04 - mean_absolute_error: 0.0090126/126 [==============================] - 0s 3ms/step - loss: 1.3803e-04 - mean_absolute_error: 0.0089 - val_loss: 5.1025e-05 - val_mean_absolute_error: 0.0057
Epoch 97/100
  1/126 [..............................] - ETA: 0s - loss: 1.0674e-04 - mean_absolute_error: 0.0081 24/126 [====>.........................] - ETA: 0s - loss: 1.4798e-04 - mean_absolute_error: 0.0093 47/126 [==========>...................] - ETA: 0s - loss: 1.5725e-04 - mean_absolute_error: 0.0096 69/126 [===============>..............] - ETA: 0s - loss: 1.4623e-04 - mean_absolute_error: 0.0093 91/126 [====================>.........] - ETA: 0s - loss: 1.5331e-04 - mean_absolute_error: 0.0095113/126 [=========================>....] - ETA: 0s - loss: 1.4501e-04 - mean_absolute_error: 0.0092126/126 [==============================] - 0s 3ms/step - loss: 1.4993e-04 - mean_absolute_error: 0.0092 - val_loss: 1.1050e-04 - val_mean_absolute_error: 0.0090
Epoch 98/100
  1/126 [..............................] - ETA: 0s - loss: 1.0990e-04 - mean_absolute_error: 0.0086 22/126 [====>.........................] - ETA: 0s - loss: 1.5196e-04 - mean_absolute_error: 0.0097 44/126 [=========>....................] - ETA: 0s - loss: 1.4487e-04 - mean_absolute_error: 0.0090 66/126 [==============>...............] - ETA: 0s - loss: 1.3116e-04 - mean_absolute_error: 0.0086 88/126 [===================>..........] - ETA: 0s - loss: 1.3362e-04 - mean_absolute_error: 0.0086109/126 [========================>.....] - ETA: 0s - loss: 1.2630e-04 - mean_absolute_error: 0.0084126/126 [==============================] - 0s 3ms/step - loss: 1.2573e-04 - mean_absolute_error: 0.0084 - val_loss: 8.6220e-05 - val_mean_absolute_error: 0.0078
Epoch 99/100
  1/126 [..............................] - ETA: 0s - loss: 1.3723e-04 - mean_absolute_error: 0.0088 23/126 [====>.........................] - ETA: 0s - loss: 1.1052e-04 - mean_absolute_error: 0.0081 45/126 [=========>....................] - ETA: 0s - loss: 1.1975e-04 - mean_absolute_error: 0.0080 67/126 [==============>...............] - ETA: 0s - loss: 1.2266e-04 - mean_absolute_error: 0.0082 89/126 [====================>.........] - ETA: 0s - loss: 1.2453e-04 - mean_absolute_error: 0.0084110/126 [=========================>....] - ETA: 0s - loss: 1.3358e-04 - mean_absolute_error: 0.0087126/126 [==============================] - 0s 3ms/step - loss: 1.3365e-04 - mean_absolute_error: 0.0087 - val_loss: 4.2007e-05 - val_mean_absolute_error: 0.0050
Epoch 100/100
  1/126 [..............................] - ETA: 0s - loss: 1.6072e-04 - mean_absolute_error: 0.0078 22/126 [====>.........................] - ETA: 0s - loss: 1.0710e-04 - mean_absolute_error: 0.0078 44/126 [=========>....................] - ETA: 0s - loss: 1.1800e-04 - mean_absolute_error: 0.0081 67/126 [==============>...............] - ETA: 0s - loss: 1.1498e-04 - mean_absolute_error: 0.0080 89/126 [====================>.........] - ETA: 0s - loss: 1.1293e-04 - mean_absolute_error: 0.0080111/126 [=========================>....] - ETA: 0s - loss: 1.2401e-04 - mean_absolute_error: 0.0083126/126 [==============================] - 0s 3ms/step - loss: 1.2771e-04 - mean_absolute_error: 0.0084 - val_loss: 7.6854e-05 - val_mean_absolute_error: 0.0073

<keras.src.callbacks.History at 0x1b9b5631ad0>

After the training and fitting of the Machine Learning model for Switzerland, I tried to create visualizations comparing the model against the country’s training dataset, validation dataset, but most importantly the testing dataset (as shown below in the line graphs). Note that the darker and thicker blue lines represent the prediction model’s projections and the thinner red lines is the observed/gathered data.

```{python}
# Testing the Machine Learning Model prediction for Switzerland with the train, 
# validation, and test sets
# Most important is the test set prediction as this tests the effectiveness
# of the Machine Learning model on data it has not seen before 
switzerland_train_pred = switzerland_model.predict(X_switzerland_train).flatten()

plt.plot(dates_switzerland_train, switzerland_train_pred, linewidth=4)
plt.plot(dates_switzerland_train, y_switzerland_train, linewidth=1)
plt.legend(["Training Predictions", "Training Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Switzerland - Training Set Predictions vs. Observations")
plt.show()

switzerland_val_pred = switzerland_model.predict(X_switzerland_val).flatten()

plt.plot(dates_switzerland_val, switzerland_val_pred, linewidth=4)
plt.plot(dates_switzerland_val, y_switzerland_val, linewidth=1)
plt.legend(["Validation Predictions", "Validation Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Switzerland - Validation Set Predictions vs. Observations")
plt.show()

switzerland_test_pred = switzerland_model.predict(X_switzerland_test).flatten()

plt.plot(dates_switzerland_test, switzerland_test_pred, linewidth=4)
plt.plot(dates_switzerland_test, y_switzerland_test, linewidth=1)
plt.legend(["Testing Predictions", "Testing Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Switzerland - Testing Set Predictions vs. Observations")
plt.show()
```

  1/126 [..............................] - ETA: 44s 45/126 [=========>....................] - ETA: 0s  89/126 [====================>.........] - ETA: 0s126/126 [==============================] - 0s 1ms/step
 1/16 [>.............................] - ETA: 0s16/16 [==============================] - 0s 1ms/step
 1/16 [>.............................] - ETA: 0s16/16 [==============================] - 0s 1ms/step

Through careful consideration of all of the prediction-based vs. observation-based contrast visualizations together, I consolidated all of graphics into one singular visualization for you to see below to get a more general perspective of the effectiveness of the Machine Learning model at training and fitting towards predicting Switzerland’s international currency rate with the United States.

```{python}
# Plotting Switzerland's observational (reference) data with the predictions 
# of its Machine Learning Model (as a way to visually inspect the effectiveness 
# of the model) 
plt.plot(dates_switzerland_train, switzerland_train_pred, linewidth=4)
plt.plot(dates_switzerland_train, y_switzerland_train, linewidth=1)
plt.plot(dates_switzerland_val, switzerland_val_pred, linewidth=4)
plt.plot(dates_switzerland_val, y_switzerland_val, linewidth=1)
plt.plot(dates_switzerland_test, switzerland_test_pred, linewidth=4)
plt.plot(dates_switzerland_test, y_switzerland_test, linewidth=1)

plt.legend(["Training Predictions",
            "Training Observations",
            "Validation Predictions",
            "Validation Observations",
            "Testing Predictions",
            "Testing Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Culmination of the Three Machine Learning Phases of Switzerland's Dataset - Predictions vs. Observations")
plt.show()
```

To put it all together, I made one large visualization to encompass all 4 countries’ Machine Learning model prediction-based vs. observation-based visualizations - Austrailia, Canada, the United Kingdom, and Switzerland as shown below.

```{python}
# Plotting all countries' observational (reference) data with the predictions 
# of its Machine Learning Model (as a way to visually inspect the effectiveness 
# of the model in an overall sense) 
plt.plot(dates_austrailia_train, austrailia_train_pred, linewidth=4, linestyle="solid")
plt.plot(dates_austrailia_train, y_austrailia_train, linewidth=1, linestyle="solid")
plt.plot(dates_austrailia_val, austrailia_val_pred, linewidth=4, linestyle="solid")
plt.plot(dates_austrailia_val, y_austrailia_val, linewidth=1, linestyle="solid")
plt.plot(dates_austrailia_test, austrailia_test_pred, linewidth=4, linestyle="solid")
plt.plot(dates_austrailia_test, y_austrailia_test, linewidth=1, linestyle="solid")

plt.plot(dates_canada_train, canada_train_pred, linewidth=4, linestyle="dashed")
plt.plot(dates_canada_train, y_canada_train, linewidth=1, linestyle="dashed")
plt.plot(dates_canada_val, canada_val_pred, linewidth=4, linestyle="dashed")
plt.plot(dates_canada_val, y_canada_val, linewidth=1, linestyle="dashed")
plt.plot(dates_canada_test, canada_test_pred, linewidth=4, linestyle="dashed")
plt.plot(dates_canada_test, y_canada_test, linewidth=1, linestyle="dashed")

plt.plot(dates_united_kingdom_train, united_kingdom_train_pred, linewidth=4, linestyle="dotted")
plt.plot(dates_united_kingdom_train, y_united_kingdom_train, linewidth=1, linestyle="dotted")
plt.plot(dates_united_kingdom_val, united_kingdom_val_pred, linewidth=4, linestyle="dotted")
plt.plot(dates_united_kingdom_val, y_united_kingdom_val, linewidth=1, linestyle="dotted")
plt.plot(dates_united_kingdom_test, united_kingdom_test_pred, linewidth=4, linestyle="dotted")
plt.plot(dates_united_kingdom_test, y_united_kingdom_test, linewidth=1, linestyle="dotted")

plt.plot(dates_switzerland_train, switzerland_train_pred, linewidth=4, linestyle="dashdot")
plt.plot(dates_switzerland_train, y_switzerland_train, linewidth=1, linestyle="dashdot")
plt.plot(dates_switzerland_val, switzerland_val_pred, linewidth=4, linestyle="dashdot")
plt.plot(dates_switzerland_val, y_switzerland_val, linewidth=1, linestyle="dashdot")
plt.plot(dates_switzerland_test, switzerland_test_pred, linewidth=4, linestyle="dashdot")
plt.plot(dates_switzerland_test, y_switzerland_test, linewidth=1, linestyle="dashdot")

plt.legend(["Training Predictions",
            "Training Observations",
            "Validation Predictions",
            "Validation Observations",
            "Testing Predictions",
            "Testing Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Culmination of the Three Machine Learning Phases of All Four Countries' Datasets - Predictions vs. Observations")
plt.show()
```

Ultimately, here is the moment of truth: I tried to recursively predict Austrailia’s future expected projection on its international currency rate between the United States through using my LSTM prediction model as shown below. By using the data from the training dataset for Austrailia, I tried to contrast the effectiveness of the model by constrasting its projection to the actual validation and testing data results. However, unfortunately, it did not predict as well as I hoped, but this was a good experiment, nonetheless.

```{python}
# Attempt at using the model to predict into the future for Austrailia's currency 
# rate
recursive_pred: list = []
recursive_dates = np.concatenate([dates_austrailia_val, dates_austrailia_test])

for target_date in recursive_dates:
    last_window = deepcopy(X_austrailia_train[-1])
    next_pred = austrailia_model.predict(np.array([last_window])).flatten()
    recursive_pred.append(next_pred)
    last_window[-1] = next_pred
```

1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 23ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 20ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 20ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 23ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 24ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 21ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 23ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 21ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 24ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 23ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 22ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 22ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 23ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 21ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 19ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 23ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 19ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 22ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 21ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 23ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 21ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 23ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 24ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 22ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 23ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 19ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 19ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 22ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 19ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 19ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 19ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 20ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 22ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 20ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 20ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 21ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 19ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 24ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 14ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 23ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 21ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 21ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 20ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 22ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 19ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 22ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 20ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 22ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 22ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 23ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 22ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 22ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 19ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 23ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 20ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 24ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 21ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 24ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 19ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 22ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 21ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 22ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 22ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 24ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 23ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 20ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 22ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - ETA: 0s1/1 [==============================] - 0s 16ms/step

To visualize the results of my recursive prediction that I completed, I added these results to the previous large visualization that encompassed all 4 countries’ Machine Learning model prediction-based vs. observation-based visualizations - Austrailia, Canada, the United Kingdom, and Switzerland as shown below.

```{python}
# Plotting all countries' observational (reference) data with the predictions 
# of its Machine Learning Model (as a way to visually inspect the effectiveness 
# of the model in an overall sense) along with the new recursive prediction
# results
plt.plot(dates_austrailia_train, austrailia_train_pred, linewidth=4, linestyle="solid")
plt.plot(dates_austrailia_train, y_austrailia_train, linewidth=1, linestyle="solid")
plt.plot(dates_austrailia_val, austrailia_val_pred, linewidth=4, linestyle="solid")
plt.plot(dates_austrailia_val, y_austrailia_val, linewidth=1, linestyle="solid")
plt.plot(dates_austrailia_test, austrailia_test_pred, linewidth=4, linestyle="solid")
plt.plot(dates_austrailia_test, y_austrailia_test, linewidth=1, linestyle="solid")
plt.plot(recursive_dates, recursive_pred, linewidth=4, linestyle="solid")

plt.legend(["Training Predictions",
            "Training Observations",
            "Validation Predictions",
            "Validation Observations",
            "Testing Predictions",
            "Testing Observations",
            "Recursive Predictions"], loc="upper right")
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Culmination of the Three Machine Learning Phases of Austrailia's Dataset - Predictions vs. Observations (With Recursive Pred. Attempt)")
plt.show()
```

Conclusions

• Returning to my attempt to test the ability for my Machine Learning model to predict the International Currency rates for Austrailia from just the range of my training dataset as shown above, I felt that its prediction was acceptable in my opinion giving the averaging across the currency rate values in my validation and testing datasets would have proven to be considerably close in its precision.

• Thus, I reached the conclusion that my International Currency Predictor would not be a viable Machine Learning model for any real-life applications. This Machine Learning model raised a valuable point - financial market prediction is a difficult endeavor to accurately predict. From a more general point of view, this International Currency Maching Learning prediction model is not totally inaccurate or untrustworthy but rather it is only on the micro-scale. These financial predictions do not always account for current events in that respective country such as changing domestic or international relations or constantly changing socioeconomic trends which could significantly sway market confidence and impact currency rate fluctuation. Consequently, economists often have to look at larger economic trends across several decades in order to make more educated predictions.

• Ultimately, I learned a great deal about the complexities of financial prediction and usage of Machine Learning models as an attempt to solve this issue. Even though my model was not as successful at predicting as I would have hoped, I am interested to see the future of Machine Learning as it soon dominates these economic sub-field and continues to rise in its relevance by being a pivotal talking point for the future and applied soon enough to other sectors of our society.

Reference Sources and Citations (IEEE Format)

To complete this blog post, I used the following online sources as references for developing this:

[1] US International Exchange Rates Dataset:

B. Ferreira, “Foreign Exchange Rates 2000-2019”, 2019. [Online]. Available: https://www.kaggle.com/datasets/brunotly/foreign-exchange-rates-per-dollar-20002019. [Accessed: 04-Sep.-2023].

[2] Tutorial on Basics of LSTM and Prediction & Forecasting in Machine Learning:

Greg Hogg, “Stock Price Prediction & Forecasting with LSTM Neural Networks in Python”, YouTube, 26-Mar.-2022. [Online.] Available: https://www.youtube.com/watch?v=CbTU92pbDKw. [Accessed: 06-Sep.-2023].